The Community for Technology Leaders
Computational Intelligence, Proceedings of the World on Congress on (2002)
Honolulu, HI, USA
May 12, 2002 to May 17, 2002
ISBN: 0-7803-7282-4
TABLE OF CONTENTS
Research Papers

Front Matter (PDF)

pp. 2029-2034

The computer defense immune system: current and future research in intrusion detection (Abstract)

K.P. Anchor , Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
G.B. Lamont , Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
G.H. Gunsch , Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
P.D. Williams , Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
pp. 1027-1032

A foundation for kilorobotic exploration (Abstract)

S.M. Thayer , Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
S.P.N. Singh , Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
W.P. Thayer , Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
pp. 1033-1038

Anomaly detection in multidimensional data using negative selection algorithm (Abstract)

N.S. Majumdar , Div. of Comput. Sci., Univ. of Memphis, TN, USA
D. Dasgupta , Div. of Comput. Sci., Univ. of Memphis, TN, USA
pp. 1039-1044

Revisiting LISYS: parameters and normal behavior (Abstract)

M.R. Glickman , Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
J. Balthrop , Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
S. Forrest , Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
pp. 1045-1050

MOPSO: a proposal for multiple objective particle swarm optimization (Abstract)

C.A. Coello Coello , Seccion de Computacion, CINVESTAV-IPN, Mexico City, Mexico
M.S. Lechuga , Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
pp. 1051-1056

Applications of evolutionary computation in electric power systems (Abstract)

P.J. Abrao , Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
A.P. Alves da Silva , Fed. Eng. Sch., Itajuba, Brazil
pp. 1057-1062

Genetic algorithms applications in electrical distribution systems (Abstract)

D.M. Falcao , COPPE, Univ. Fed. do Rio de Janeiro, Brazil
pp. 1063-1068

A real-coded genetic algorithm involving a hybrid crossover method for power plant control system design (Abstract)

P.S. Mohamed , Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
K.Y. Lee , Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
pp. 1069-1074

Border identification for power system security assessment using neural network inversion: an overview (Abstract)

I.N. Kassabalidis , Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
M.A. El-Sharkawi , Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
M.A. El-Sharkawi , Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
pp. 1075-1079

EPSO - best-of-two-worlds meta-heuristic applied to power system problems (Abstract)

N. Fonseca , INESC, Porto, Portugal
V. Miranda , INESC, Porto, Portugal
pp. 1080-1085

Generating war game strategies using a genetic algorithm (Abstract)

T.E. Revello , Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
R. McCartney , Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
pp. 1086-1091

An evolutionary approach for pose determination and interpretation of occluded articulated objects (Abstract)

Shinn-Ying Ho , Dept. of Inf. Eng., Feng Chia Univ., Taichung, Taiwan
Shinn-Jang Ho , Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Zhen-Bang Huang , Dept. of Inf. Eng., Feng Chia Univ., Taichung, Taiwan
pp. 1092-1097

Genetic algorithm approach to nonlinear blind source separation (Abstract)

F. Rojas , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
J. Ortega , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
C.G. Puntonet , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
I. Rojas , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
A. Prieto , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
pp. 1098-1102

Issues on the optimisation of evolutionary algorithms code (Abstract)

J. Louchet , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
P. Collet , CMAP, Ecole Polytech., Palaiseau, France
E. Lutton , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
pp. 1103-1108

Evolving crushers (Abstract)

P. Hingston , Sch. of Comput. & Inf. Sci., Edith Cowan Univ., Mt Lawley, WA, Australia
L. While , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
L. Barone , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
pp. 1109-1114

Evolutionary algorithm for speech segmentation (Abstract)

D.H. Milone , Cybern. Lab., Nat. Univ. of Entre Rios, Argentina
H.L. Rufiner , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
J.J. Merelo , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
pp. 1115-1120

A Network IDS with low false positive rate (Abstract)

Xie Weixin , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
Yan Qiao , Xidian Univ., Xi'an, China
pp. 1121-1126

Multi-objective evolutionary guidance for swarms (Abstract)

E.J. Hughes , R. Mil. Coll. of Sci., Cranfield Univ., Shrivenham, UK
pp. 1127-1132

An evolutionary algorithm for constrained multi-objective optimization (Abstract)

F. Jimenez , Departamento de Ingenieria de la Informacion y las Comunicaciones, Campus de Espinardo, Murcia, Spain
A.F. Gomez-Skarmeta , Departamento de Ingenieria de la Informacion y las Comunicaciones, Campus de Espinardo, Murcia, Spain
G. Sanchez , Departamento de Ingenieria de la Informacion y las Comunicaciones, Campus de Espinardo, Murcia, Spain
K. Deb , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
pp. 1133-1138

Preliminary statement on the current progress of multi-objective evolutionary algorithm performance measurement (Abstract)

G. Chong , Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
Yun Li , Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
K. Deb , Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
pp. 1139-1144

Multiobjective optimization using a Pareto differential evolution approach (Abstract)

N.K. Madavan , NASA Adv. Supercomput. Div., NASA Ames Res. Center, Moffett Field, CA, USA
pp. 1145-1150

Design of multi-objective evolutionary algorithms: application to the flow-shop scheduling problem (Abstract)

F. Seynhaeve , LIFL, Lille Univ., Villeneuve d'Ascq, France
E. Talbi , LIFL, Lille Univ., Villeneuve d'Ascq, France
M. Basseur , LIFL, Lille Univ., Villeneuve d'Ascq, France
pp. 1151-1156

Comparing a coevolutionary genetic algorithm for multiobjective optimization (Abstract)

W.F. Kraus , LIFL, Lille Univ., Villeneuve d'Ascq, France
J.D. Lohn , Computational Sci. Div., NASA Ames Res. Center, Moffett Field, CA, USA
G.L. Haith , LIFL, Lille Univ., Villeneuve d'Ascq, France
pp. 1157-1162

A scalable genetic algorithm for the rectilinear Steiner problem (Abstract)

B.A. Julstrom , Dept. of Comput. Sci., Saint Cloud State Univ., MN, USA
pp. 1169-1173

Genetic approach to pole placement by static output feedback (Abstract)

N. Sadati , Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
S. Kuchakkhani , Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
pp. 1174-1179

Co-evolutionary global optimization algorithm (Abstract)

M. Iwamatsu , Dept. of Inf. & Comput. Eng., Kisarazu Nat. Coll. of Technol., Chiba, Japan
pp. 1180-1184

An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem (Abstract)

P. Cowling , Dept. of Comput., Bradford Univ., UK
G. Kendall , Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Limin Han , LIFL, Lille Univ., Villeneuve d'Ascq, France
pp. 1185-1190

Search landscape of a realistic single-machine scheduling task: peaks with big differences (Abstract)

P.J. Darwen , Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Brisbane, Qld., Australia
pp. 1191-1196

A multi criteria meta-heuristic approach to nurse rostering (Abstract)

E.K. Burke , Sch. of Comput. Sci. & IT, Nottingham Univ., UK
S. Petrovic , LIFL, Lille Univ., Villeneuve d'Ascq, France
P. De Causmaecker , Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
G. Vanden Berghe , Dept. of Comput. Archit. & Technol., Granada Univ., Spain
pp. 1197-1202

A fuzzy evolutionary approach with Taguchi parameter setting for the set covering problem (Abstract)

Jingpeng Li , Sch. of Comput. Studies, Leeds Univ., UK
R.S.K. Kwan , Sch. of Comput. Studies, Leeds Univ., UK
pp. 1203-1208

Overfitting avoidance in genetic programming of polynomials (Abstract)

L.M. de Menezes , Goldsmiths Coll., Univ. of London, UK
H. Iba , LIFL, Lille Univ., Villeneuve d'Ascq, France
N. Nikolaev , Goldsmiths Coll., Univ. of London, UK
pp. 1209-1214

Generation of comprehensible decision trees through evolution of training data (Abstract)

T. Endou , The Univ. of Aizu, Aizu-Wakamatsu, Japan
Qiangfu Zhao , The Univ. of Aizu, Aizu-Wakamatsu, Japan
pp. 1221-1225

GPSQL Miner: SQL-grammar genetic programming in data mining (Abstract)

C.Y. Ishida , Comput. Sci. Dept., Univ. Fed. do Parana, Curitiba, Brazil
A.T.R. Pozo , Comput. Sci. Dept., Univ. Fed. do Parana, Curitiba, Brazil
pp. 1226-1231

Machine intelligence of a mobile manipulator to utilize dynamically interfered motion and nonlinear friction (Abstract)

M. Minami , Fac. of Eng., Fukui Univ., Japan
T. Asakura , Fac. of Eng., Fukui Univ., Japan
A. Tamamura , Fac. of Eng., Fukui Univ., Japan
pp. 1232-1237

A genetic rule-based data clustering toolkit (Abstract)

I. Sarafis , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
A.M.S. Zalzala , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
P.W. Trinder , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
pp. 1238-1243

Towards evolutionary optimisation for high resolution bathymetry from sidescan sonars (Abstract)

E. Avgerinos , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
G. Zografos , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
A.M.S. Zalzala , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
pp. 1244-1249

Evolutionary computation in identification of a tumor (Abstract)

T. Burczynski , Dept. for Strength of Mater. & Computational Mech., Silesian Univ. of Technol., Gliwice, Poland
E. Majchrzak , Dept. for Strength of Mater. & Computational Mech., Silesian Univ. of Technol., Gliwice, Poland
P. Orantek , Dept. for Strength of Mater. & Computational Mech., Silesian Univ. of Technol., Gliwice, Poland
W. Kus , Dept. for Strength of Mater. & Computational Mech., Silesian Univ. of Technol., Gliwice, Poland
M. Dziewonski , Dept. for Strength of Mater. & Computational Mech., Silesian Univ. of Technol., Gliwice, Poland
pp. 1250-1254

Design of cascaded controllers for DC drives using evolutionary algorithms (Abstract)

B. Turchiano , Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
D. Naso , Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
L. Salvatore , Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
F. Cupertino , Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
pp. 1255-1260

Combining evolution strategies with Lagrangian relaxation for constructing nonslicing VLSI floorplans with soft modules (Abstract)

B. Wang , Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
M. Chrzanowska-Jeske , Dept. of Electr. & Comput. Eng., Portland State Univ., OR, USA
G. Greenwood , Dept. of Electr. & Comput. Eng., Portland State Univ., OR, USA
pp. 1261-1266

Evolved fault tolerance in evolvable hardware (Abstract)

A.M. Tyrrell , Dept. of Electron., York Univ., UK
R.O. Canham , Dept. of Electron., York Univ., UK
pp. 1267-1271

Autonomous robot navigation via intrinsic evolution (Abstract)

Y.J. Chen , Dept. for Strength of Mater. & Computational Mech., Silesian Univ. of Technol., Gliwice, Poland
L.F. Wang , Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
K.C. Tan , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
K.K. Tan , Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
C.M. Chew , Dept. of Electron., York Univ., UK
pp. 1272-1277

Swarm directions embedded in fast evolutionary programming (Abstract)

Yifeng Zhang , Dept. of Radio Eng., Southeast Univ., Nanjing, China
Zhenya He , Dept. of Radio Eng., Southeast Univ., Nanjing, China
Wenjiang Pei , Dept. of Radio Eng., Southeast Univ., Nanjing, China
Chengjian Wei , Dept. of Radio Eng., Southeast Univ., Nanjing, China
pp. 1278-1283

Evolutionary diffusion optimization. II. Performance assessment (Abstract)

Jiming Liu , Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon, China
Wenjiang Pei , Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon, China
pp. 1284-1289

Solving traveling salesman problems by combining global and local search mechanisms (Abstract)

Cheng-Yan Kao , Dept. of Radio Eng., Southeast Univ., Nanjing, China
Jinn-Moon Yang , Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon, China
Huai-Kuang Tsai , Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
pp. 1290-1295

Greedy closure evolutionary algorithms (Abstract)

Fang Qiu , Dept. of Radio Eng., Southeast Univ., Nanjing, China
Ling Guo , Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon, China
D. Ashlock , Dept. of Math., Iowa State Univ., Ames, IA, USA
pp. 1296-1301

Mining multiple comprehensible classification rules using genetic programming (Abstract)

T.H. Lee , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
C.M. Heng , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
A. Tay , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
K.C. Tan , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
pp. 1302-1307

Intelligent predictive control of a power plant with evolutionary programming optimizer and neuro-fuzzy identifier (Abstract)

K.Y. Lee , Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
H. Ghezelayagh , Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
pp. 1308-1313

A hybrid approach to learn Bayesian networks using evolutionary programming (Abstract)

K.Y. Lee , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
K.Y. Lee , Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
K.Y. Lee , Dept. of Inf. Syst., Lingnan Univ., Tuen Mun, China
pp. 1314-1319

Evolutionary adaptive-critic methods for reinforcement learning (Abstract)

Xin Xu , Dept. of Autom. Control, Nat. Univ. of Defense Technol., Changsha, China
Han-gen He , Dept. of Autom. Control, Nat. Univ. of Defense Technol., Changsha, China
Dewen Hu , Dept. of Autom. Control, Nat. Univ. of Defense Technol., Changsha, China
pp. 1320-1325

Solving the symbolic regression problem with tree-adjunct grammar guided genetic programming: the comparative results (Abstract)

R.I. McKay , Dept. of Autom. Control, Nat. Univ. of Defense Technol., Changsha, China
R. Chau , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
D. Essam , Dept. of Autom. Control, Nat. Univ. of Defense Technol., Changsha, China
N.X. Hoai , Sch. of Comput. Sci., Univ. of New South Wales, Canberra, ACT, Australia
pp. 1326-1331

Linkage identification based on epistasis measures to realize efficient genetic algorithms (Abstract)

M. Munetomo , Center for Inf. & Multimedia Studies, Hokkaido Univ., Sapporo, Japan
pp. 1332-1337

Gene SPILL: an evolutionary algorithm based on bacterial gene exchange (Abstract)

S. Das , Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
pp. 1338-1342

Evaluation of search performance of bacterial evolutionary algorithm (Abstract)

K. Yamamoto , Fac. of Eng., Mie Univ., Japan
T. Shinogi , Fac. of Eng., Mie Univ., Japan
T. Yoshikawa , Fac. of Eng., Mie Univ., Japan
T. Furuhashi , Fac. of Eng., Mie Univ., Japan
S. Tsuruoka , Fac. of Eng., Mie Univ., Japan
pp. 1343-1347

Neutrality and ruggedness in robot landscapes (Abstract)

M. O'Shea , Centre for Computational Neurosci. & Robotics (CCNR), Sussex Univ., Brighton, UK
T. Smith , Centre for Computational Neurosci. & Robotics (CCNR), Sussex Univ., Brighton, UK
P. Husbands , Centre for Computational Neurosci. & Robotics (CCNR), Sussex Univ., Brighton, UK
A. Philippides , Centre for Computational Neurosci. & Robotics (CCNR), Sussex Univ., Brighton, UK
pp. 1348-1353

Neutrality: a necessity for self-adaptation (Abstract)

C. Igel , Inst. fur Neuroinformatik, Ruhr-Univ., Bochum, Germany
M. Toussaint , Inst. fur Neuroinformatik, Ruhr-Univ., Bochum, Germany
pp. 1354-1359

Issues in designing a neutral genotype-phenotype mapping (Abstract)

R. Shipman , Intelligent Syst. Lab., BTexact Technol., Ipswich, UK
M. Shackleton , Intelligent Syst. Lab., BTexact Technol., Ipswich, UK
pp. 1360-1365

Learning grammars with a modified classifier system (PDF)

W. Cyre , Dept. of Electr. & Comput. Eng., Virginia Tech., Blacksburg, VA, USA
pp. 1366-1371

Genetic programming with smooth operators for arithmetic expressions: diviplication and subdition (Abstract)

R.K. Ursem , Dept. of Comput. Sci., Aarhus Univ., Denmark
T. Krink , Intelligent Syst. Lab., BTexact Technol., Ipswich, UK
pp. 1372-1377

Design of high performance fuzzy controllers using flexible parameterized membership functions and intelligent genetic algorithms (Abstract)

Shinn-Ying Ho , Dept. of Inf. Eng., Feng China Univ., Taichung, Taiwan
Shinn-Jang Ho , Centre for Computational Neurosci. & Robotics (CCNR), Sussex Univ., Brighton, UK
Tai-Kang Chen , Dept. of Inf. Eng., Feng China Univ., Taichung, Taiwan
pp. 1378-1383

Coevolutionary design of Takagi-Sugeno fuzzy systems (Abstract)

F. Von Zuben , Dept. of Inf. Eng., Feng China Univ., Taichung, Taiwan
F. Gomide , Centre for Computational Neurosci. & Robotics (CCNR), Sussex Univ., Brighton, UK
M.R. Delgado , Dept. of Comput. Eng. & Ind. Autom., State Univ. of Campinas, Brazil
pp. 1384-1389

Blocked stochastic sampling versus Estimation of Distribution Algorithms (Abstract)

R. Santana , ICIMAF, Havana, Cuba
H. Muhlenbein , Dept. of Inf. Eng., Feng China Univ., Taichung, Taiwan
pp. 1390-1395

Evolutionary optimization by distribution estimation with mixtures of factor analyzers (Abstract)

Dong-Yeon Cho , Biointelligence Lab., Seoul Nat. Univ., South Korea
Byoung-Tak Zhang , Biointelligence Lab., Seoul Nat. Univ., South Korea
pp. 1396-1401

We need multiple solutions for electric equipments configuration in a power plant - applying Bayesian optimization algorithm with Tabu search (Abstract)

T. Terano , Graduate Sch. of Syst. Manage., Tsukuba Univ., Tokyo, Japan
Y. Katsumata , Graduate Sch. of Syst. Manage., Tsukuba Univ., Tokyo, Japan
S. Kurahashi , Graduate Sch. of Syst. Manage., Tsukuba Univ., Tokyo, Japan
pp. 1402-1407

An investigation, using co-evolution, to evolve an Awari player (Abstract)

G. Kendall , Optimisation & Planning Res. Group, Nottingham Univ., UK
J.E. Davis , Optimisation & Planning Res. Group, Nottingham Univ., UK
pp. 1408-1413

Network performance of distributed coevolutionary agents (Abstract)

R. Subbu , Gen. Electr. Global Res., New York, NY, USA
A.C. Sanderson , Optimisation & Planning Res. Group, Nottingham Univ., UK
pp. 1414-1419

Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization (Abstract)

S. Bullock , Sch. of Comput., Leeds Univ., UK
J. Cartlidge , Sch. of Comput., Leeds Univ., UK
pp. 1420-1425

Co-evolving automata negotiate with a variety of opponents (Abstract)

D.D.B. van Bragt , Centre for Math. & Comput. Sci., CWI, Amsterdam, Netherlands
J.A. La Poutre , Centre for Math. & Comput. Sci., CWI, Amsterdam, Netherlands
pp. 1426-1431

Artificial life system and its application to multiple-fuel economic load dispatch problem (Abstract)

K. Nara , Centre for Computational Neurosci. & Robotics (CCNR), Sussex Univ., Brighton, UK
H. Kuwabara , Centre for Math. & Comput. Sci., CWI, Amsterdam, Netherlands
M. Kanezashi , Graduate Sch. of Syst. Manage., Tsukuba Univ., Tokyo, Japan
T. Satoh , Fac. of Eng., Yamaguchi Univ., Ube, Japan
pp. 1432-1437

The effect of routing under local information using a social insect metaphor (Abstract)

A.N. Zincir-Heywood , Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS, Canada
Suiliong Liang , Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS, Canada
M.I. Heywood , Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS, Canada
pp. 1438-1443

Swarm intelligence on the binary constraint satisfaction problem (Abstract)

B. Naudts , Antwerp Univ., Belgium
L. Schoofs , Antwerp Univ., Belgium
pp. 1444-1449

Evolving ant colony systems in hardware for random number generation (Abstract)

R.K. Watkins , Coll. of Eng., Florida State Univ., Tallahassee, FL, USA
J.C. Isaacs , Coll. of Eng., Florida State Univ., Tallahassee, FL, USA
S.Y. Foo , Coll. of Eng., Florida State Univ., Tallahassee, FL, USA
pp. 1450-1455

Dissipative particle swarm optimization (Abstract)

Zhi-Lian Yang , Inst. of Microelectron., Tsinghua Univ., Beijing, China
Wen-Jun Zhang , Inst. of Microelectron., Tsinghua Univ., Beijing, China
Xiao-Feng Xie , Inst. of Microelectron., Tsinghua Univ., Beijing, China
pp. 1456-1461

Improvised music with swarms (Abstract)

P. Bentley , Dept. of Comput. Sci., Univ. Coll. London, UK
T.M. Blackwell , Dept. of Comput. Sci., Univ. Coll. London, UK
pp. 1462-1467

A constraint handling approach for the differential evolution algorithm (Abstract)

J. Lampinen , Lappeenranta Univ. of Technol., Finland
pp. 1468-1473

Particle swarm optimisation with spatial particle extension (Abstract)

J. Riget , Dept. of Comput. Sci., Aarhus Univ., Denmark
J.S. Vesterstrom , Dept. of Comput. Sci., Aarhus Univ., Denmark
T. Krink , Dept. of Comput. Sci., Aarhus Univ., Denmark
pp. 1474-1479

Development of FPGA based adaptive image enhancement filter system using genetic algorithms (Abstract)

J. Riget , Centre for Computational Neurosci. & Robotics (CCNR), Sussex Univ., Brighton, UK
J. Riget , Dept. of Comput. Sci., Aarhus Univ., Denmark
J. Riget , Dept. of Comput. Sci., Aarhus Univ., Denmark
J. Riget , Dept. of Electr. Eng., Inha Univ., Inchon, South Korea
pp. 1480-1485

Efficient machine-code test-program induction (Abstract)

M. Sonza Reorda , Dipt. di Automatica e Informatica, Politecnico di Torino, Italy
G. Cumani , Dipt. di Automatica e Informatica, Politecnico di Torino, Italy
F. Corno , Dipt. di Automatica e Informatica, Politecnico di Torino, Italy
G. Squillero , Dipt. di Automatica e Informatica, Politecnico di Torino, Italy
pp. 1486-1491

Graph-based individual representation for evolutionary synthesis of arithmetic circuits (Abstract)

T. Aoki , Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
T. Higuchi , Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
N. Homma , Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
pp. 1492-1497

The force model: reducing the complexity by reformulating the problem (Abstract)

R. Salomon , Artificial Intelligence Lab., Zurich Univ., Switzerland
pp. 1498-1503

Using a co-operative co-evolutionary genetic algorithm to solve optimal control problems in a hysteresis system (Abstract)

Kittipong Boonlong , Res. & Dev. Center for Intelligent Syst., King Mongkut's Inst. of Technol., Bangkok, Thailand
Suwat Kuntanapreeda , Res. & Dev. Center for Intelligent Syst., King Mongkut's Inst. of Technol., Bangkok, Thailand
Nachol Chaiyaratana , Res. & Dev. Center for Intelligent Syst., King Mongkut's Inst. of Technol., Bangkok, Thailand
pp. 1504-1509

And the winner is...Not the fittest [coevolution] (Abstract)

H. Bersini , IRIDIA, Univ. Libre de Bruxelles, Brussels, Belgium
pp. 1510-1515

Deterministic crowding, recombination and self-similarity (Abstract)

Bo Yuan , Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Brisbane, Qld., Australia
pp. 1516-1521

Realizing unstable social efficiency with mutual learning of meta-rules (Abstract)

H. Sato , Dept. of Comput. Sci., Nat. Defense Acad., Yokosuka, Japan
Y. Murakami , Dept. of Comput. Sci., Nat. Defense Acad., Yokosuka, Japan
A. Namatame , Dept. of Comput. Sci., Nat. Defense Acad., Yokosuka, Japan
pp. 1522-1527

Cross entropy guided ant-like agents finding dependable primary/backup path patterns in networks (Abstract)

O. Wittner , Dept. of Telematics, Norwegian Univ. of Sci. & Technol., Norway
B.E. Helvik , Dept. of Telematics, Norwegian Univ. of Sci. & Technol., Norway
pp. 1528-1533

Multi-agent learning via implicit opponent modeling (Abstract)

R.V. Bjarnason , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
T.S. Peterson , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
pp. 1534-1539

A scalable and robust framework for distributed applications (Abstract)

M. Press , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
M. Jelasity , Dept. of Artificial Intelligence, Free Univ. of Amsterdam, Netherlands
B. Paechter , Dept. of Comput. Sci., Nat. Defense Acad., Yokosuka, Japan
pp. 1540-1545

A new classifier based on resource limited artificial immune systems (Abstract)

A. Watkins , Comput. Lab., Kent Univ., Canterbury, UK
L. Boggess , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
pp. 1546-1551

Ant algorithm for construction of evolutionary tree (Abstract)

H. Iba , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
S. Ando , Sch. of Eng., Univ. of Tokyo, Japan
pp. 1552-1557

Ant colony optimization for FOP shop scheduling: a case study on different pheromone representations (Abstract)

C. Blum , IRIDIA, Univ. Libre de Bruxelles, Brussels, Belgium
M. Sampels , IRIDIA, Univ. Libre de Bruxelles, Brussels, Belgium
pp. 1558-1563

Letting ants labeling point features [sic.: for 'labeling' read 'label'] (Abstract)

M. Schreyer , Inst. of Comput. Graphics & Algorithms, Vienna Univ. of Technol., Austria
G.R. Raidl , Inst. of Comput. Graphics & Algorithms, Vienna Univ. of Technol., Austria
pp. 1564-1569

Division of labor in particle swarm optimisation (Abstract)

J.S. Vesterstrom , Dept. of Comput. Sci., Aarhus Univ., Denmark
T. Krink , Dept. of Comput. Sci., Aarhus Univ., Denmark
J. Riget , Dept. of Comput. Sci., Aarhus Univ., Denmark
pp. 1570-1575

Particle swarm optimization for minimax problems (Abstract)

E.C. Laskari , Dept. of Math., Patras Univ., Greece
M.N. Vrahatis , Dept. of Math., Patras Univ., Greece
K.E. Parsopoulos , Dept. of Math., Patras Univ., Greece
pp. 1576-1581

Particle swarm optimization for integer programming (Abstract)

M.N. Vrahatis , Dept. of Math., Patras Univ., Greece
K.E. Parsopoulos , Dept. of Math., Patras Univ., Greece
E.C. Laskari , Dept. of Math., Patras Univ., Greece
pp. 1582-1587

Extending particle swarm optimisers with self-organized criticality (Abstract)

T. Krink , Dept. of Comput. Sci., Aarhus Univ., Denmark
M. Lovbjerg , Dept. of Comput. Sci., Aarhus Univ., Denmark
pp. 1588-1593

Enhancing game theory with coevolutionary simulation models of honest signalling (Abstract)

D. Harris , Informatics Res. Inst., Leeds Univ., UK
S. Bullock , Informatics Res. Inst., Leeds Univ., UK
pp. 1594-1599

Analyzing cooperative coevolution with evolutionary game theory (Abstract)

W.C. Liles , Informatics Res. Inst., Leeds Univ., UK
K.A. De Jong , Dept. of Math., Patras Univ., Greece
R.P. Wiegand , Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
pp. 1600-1605

Exploitation and peacekeeping: introducing more sophisticated interactions to the iterated prisoner's dilemma (Abstract)

T. Ord , Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Vic., Australia
A. Blair , Informatics Res. Inst., Leeds Univ., UK
pp. 1606-1611

A coevolutionary approach to adapt the genotype-phenotype map in genetic algorithms (Abstract)

H. Murao , Dept. of Comput. & Syst. Eng., Kobe Univ., Japan
S. Kitamura , Dept. of Comput. & Syst. Eng., Kobe Univ., Japan
H. Tamaki , Dept. of Comput. & Syst. Eng., Kobe Univ., Japan
pp. 1612-1617

An evolutionary programming approach for detecting novel computer network attacks (Abstract)

K.P. Anchor , Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
G.H. Gunsch , Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
G.B. Lamont , Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
pp. 1618-1623

A novel multiple-searching genetic algorithm for multimedia multicast routing (Abstract)

Chun-Wei Tsai , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
Cheng-Fa Tsai , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
Chi-Ping Chen , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
pp. 1624-1629

A heuristic ant algorithm for solving QoS multicast routing problem (Abstract)

JunHua Gu , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
JunHua Gu , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
Chao-Hsien Chu , Sch. of Inf. Sci. & Tech., Pennsylvania State Univ., University Park, PA, USA
Qijun Gu , Dipt. di Automatica e Informatica, Politecnico di Torino, Italy
pp. 1630-1635

A new approach for solving large traveling salesman problem (Abstract)

Ching-Chang Tseng , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
Cheng-Fa Tsai , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
Chun-Wei Tsai , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
pp. 1636-1641

Fuzzy biasless simulated evolution for multiobjective VLSI placement (Abstract)

J.A. Khan , Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
S.M. Sait , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
M.R. Minhas , Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
pp. 1642-1647

Dynamic population size in multiobjective evolutionary algorithms (Abstract)

G.G. Yen , Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
Haiming Lu , Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
pp. 1648-1653

AntTAG: a new method to compose computer programs using colonies of ants (Abstract)

R.I. McKay , Sch. of Comput. Sci., Univ. of New South Wales, Canberra, ACT, Australia
Xuan Hoai , Sch. of Comput. Sci., Univ. of New South Wales, Canberra, ACT, Australia
H.A. Abbass , Sch. of Comput. Sci., Univ. of New South Wales, Canberra, ACT, Australia
pp. 1654-1659

Devising a cost effective baseball scheduling by evolutionary algorithms (Abstract)

R.I. McKay , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
Hsien-Da Huang , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
Jorng-Tzong Horng , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
pp. 1660-1665

Adaptive particle swarm optimization: detection and response to dynamic systems (Abstract)

R.C. Eberhart , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
Xiaohui Hu , Dept. of Biomed. Eng., Purdue Univ., West Lafayette, IN, USA
pp. 1666-1670

Population structure and particle swarm performance (Abstract)

R. Mendes , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
J. Kennedy , Bur. of Labor Stat., Washington, DC, USA
pp. 1671-1676

Multiobjective optimization using dynamic neighborhood particle swarm optimization (Abstract)

Xiaohui Hu , Dept. of Biomed. Eng., Purdue Univ., West Lafayette, IN, USA
R. Eberhart , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
pp. 1677-1681

Co-evolutionary particle swarm optimization to solve min-max problems (Abstract)

Yuhui Shi , EDS Embedded Syst. Group, Kokomo, IN, USA
R.A. Krohling , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
pp. 1682-1687

Solving numerical equations of hydraulic problems using particle swarm optimization (Abstract)

Y. Shi , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
H. Knidel , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
R.A. Krohling , Departamento de Engenharia Eletrica, Univ. Fed. do Espirito Santo, Vitoria, Brazil
pp. 1688-1690

Don't push me! Collision-avoiding swarms (Abstract)

T.M. Blackwell , Dept. of Comput. Sci., Univ. Coll. London, UK
P. Bentley , Dept. of Comput. Sci., Univ. Coll. London, UK
pp. 1691-1696

Evolving parallel machine programs for a multi-ALU processor (Abstract)

J. Vincent , Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China
J. Vincent , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
J. Vincent , Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China
pp. 1703-1708

The effects of varying population density in a fine-grained parallel genetic algorithm (Abstract)

Xiaodong Li , Sch. of Comput. Sci. & Inf. Technol., RMIT Univ., Melbourne, Vic., Australia
M. Kirley , Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China
pp. 1709-1714

Reduction of communication quantity for network based parallel GA (Abstract)

K. Kojima , Iwate Prefecture Univ., Japan
H. Matsuo , Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China
M. Ishigame , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
pp. 1715-1720

Fault-tolerant network computation of individuals in genetic algorithms (Abstract)

A. Hamilton-Wright , Waterloo Univ., Ont., Canada
D. Stacey , Waterloo Univ., Ont., Canada
pp. 1721-1726

Studying the influence of synchronous and asynchronous parallel GP on programs length evolution (Abstract)

F. Femdndez , Comput. Sci. Dept., Univ. of Extremadura, Merida, Spain
M. Tomassini , Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
L. Vanneschi , Dipt. di Automatica e Informatica, Politecnico di Torino, Italy
G. Galeano , Comput. Sci. Dept., Univ. of Extremadura, Merida, Spain
pp. 1727-1732

Hybrid genetic algorithms and random linkage (Abstract)

J.A. Joines , Dept. of Textile Eng., North Carolina State Univ., Raleigh, NC, USA
M.G. Kay , Comput. Sci. Dept., Univ. of Extremadura, Merida, Spain
pp. 1733-1738

Applying evolutionary programming to improve branch classification in the hybrid branch prediction method using Switch-Counter (Abstract)

Ruijian Zhang , Dept. of Comput. Sci., Houston Univ., TX, USA
W.K. King , Dept. of Comput. Sci., Houston Univ., TX, USA
Qingdong Wang , Dept. of Comput. Sci., Houston Univ., TX, USA
pp. 1739-1744

A symbiotic evolutionary algorithm for dynamic facility layout problem (Abstract)

Ming Chang , Res. Inst. of Manuf. Inf. Technol. Gifu Prefecture, Kakamigahara, Japan
K. Ueda , Dept. of Comput. Sci., Houston Univ., TX, USA
M. Sugiyama , Dipt. di Automatica e Informatica, Politecnico di Torino, Italy
K. Ohkura , Dept. of Comput. Sci., Houston Univ., TX, USA
pp. 1745-1750

Automated time table generation using multiple context reasoning for university modules (Abstract)

D. Srinivasan , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
D. Srinivasan , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
D. Srinivasan , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
pp. 1751-1756

Efficient evolution of neural network topologies (Abstract)

K.O. Stanley , Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
R. Miikkulainen , Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
pp. 1757-1762

The fast neural network solution for problems based on slow genetic algorithm solutions (Abstract)

Yan Wang , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Yilong Lu , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
pp. 1763-1768

An evolutionary method for the design of generic neural networks (Abstract)

N. Taylor , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
D. Edwards , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
K. Brown , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
pp. 1769-1774

Hierarchical evolution of heterogeneous neural networks (Abstract)

D. Weingaertner , DCA - FEEC, UNICAMP, Campinas, Brazil
R.R. Gudwin , DCA - FEEC, UNICAMP, Campinas, Brazil
V.K. Tatai , DCA - FEEC, UNICAMP, Campinas, Brazil
F.J. Von Zuben , DCA - FEEC, UNICAMP, Campinas, Brazil
pp. 1775-1780

Performance and population state metrics for rule-based learning systems (Abstract)

T. Kovacs , Dept. of Comput. Sci., Bristol Univ., UK
pp. 1781-1786

A co-evolutionary framework for clustering in information retrieval systems (Abstract)

A. Aizawa , Nat. Inst. of Informatics, Tokyo, Japan
pp. 1787-1792

Reinforcement learning in steady-state cellular genetic algorithms (Abstract)

Cin-Young Lee , Nat. Inst. of Informatics, Tokyo, Japan
E.K. Antonsson , DCA - FEEC, UNICAMP, Campinas, Brazil
pp. 1793-1797

Co-evolutionary classifier systems for multi-agent simulation (Abstract)

L.M. Hercog , Sch. of Comput., South Bank Univ., London, UK
T.C. Fogarty , Sch. of Comput., South Bank Univ., London, UK
pp. 1798-1803

Resolving ambiguity in depth extraction for motion capture using genetic algorithm (Abstract)

Tong Lee , Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
T.C. Fogarty , Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
T.C. Fogarty , Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
pp. 1804-1809

Adaptive distributed caching (Abstract)

M.J. Kaiser , Dept. of Comput. Sci., Hong Kong Baptist Univ., China
Jiming Liu , Dept. of Comput. Sci., Hong Kong Baptist Univ., China
M.J. Kaiser , Dept. of Comput. Sci., Hong Kong Baptist Univ., China
pp. 1810-1815

A genetic algorithm approach for optimal distribution feeder restoration during cold load pickup (Abstract)

A. Pahwa , Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
S. Das , Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
S. Chavali , Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
pp. 1816-1819

Parallel implementation of niched Pareto genetic algorithm code for X-ray plasma spectroscopy (Abstract)

S.J. Louis , Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
R.C. Mancini , Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
I.E. Golovkin , Fusion Technol. Inst., Wisconsin Univ., Madison, WI, USA
pp. 1820-1824

Improving evolutionary algorithm performance on maximizing functional test coverage of ASICs using adaptation of the fitness criteria (Abstract)

M.H. Shor , Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
B. Aktan , Network Processor Div., Intel Corp., Hudson, MA, USA
G. Greenwood , Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
pp. 1825-1829

Fuzzy controller implementations with fewer than ten transistors? (Abstract)

D. Keymeulen , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
A. Stoica , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
R.S. Zebulum , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
M.I. Ferguson , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Vu Duong , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
pp. 1830-1835

The evolved radio and its implications for modelling the evolution of novel sensors (Abstract)

J. Bird , Centre for Computational Neurosci. & Robotics, Sussex Univ., Brighton, UK
P. Layzell , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
pp. 1836-1841

Towards a genetic algorithms approach to designing 3D polygonal tree models (Abstract)

P. Layzell , Entertainment Technol. Center, Carnegie Mellon Univ., Pittsburgh, PA, USA
C. Bates Congdon , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
pp. 1842-1847

Using evolutionary algorithm for generation of dense families of circulant networks (Abstract)

O. Monakhov , Univ. of Aizu, Fukushima, Japan
E. Monakhova , Univ. of Aizu, Fukushima, Japan
pp. 1854-1859

Multiobjective optimization of current waveforms for switched reluctance motors by genetic algorithm (Abstract)

Qing Zheng , Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
Jian-Xin Xu , Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
Jian-Xin Xu , Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
pp. 1860-1865

A genetic algorithm for integrated cell formation and layout decisions (Abstract)

Xiaodan Wu , Sch. of Manage., Hebei Univ. of Tech., Tianjin, China
Chao-Hsien Chu , Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
Yunfeng Wang , Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
Weli Yan , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
pp. 1866-1871

Evolving modular genetic regulatory networks (Abstract)

J. Bongard , Artificial Intelligence Lab., Zurich Univ., Switzerland
pp. 1872-1877

Evolving the mapping between input neurons and multi-source imagery (Abstract)

P.R.W. Harvey , DSTL Malvern, UK
D.M. Booth , DSTL Malvern, UK
J.F. Boyce , Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
pp. 1878-1883

A novel evolutionary neural learning algorithm (Abstract)

R. Ghosh , Sch. of Inf. Technol., Griffith Univ., Brisbane, Qld., Australia
B. Verma , Sch. of Inf. Technol., Griffith Univ., Brisbane, Qld., Australia
pp. 1884-1889

A GA-based RBF classifier with class-dependent features (Abstract)

Lipo Wang , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Xiuju Fu , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
pp. 1890-1894

Facial feature extraction using genetic algorithm (Abstract)

N. Nithianandan , Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
G.G. Yen , Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
pp. 1895-1900

Evolutionary programming to optimize an assembly program (Abstract)

D. Wunsch , Dept. of Comput. Eng., Missouri Univ., Rolla, MO, USA
B. Blaha , Dept. of Comput. Eng., Missouri Univ., Rolla, MO, USA
pp. 1901-1903

Circuit design using evolutionary algorithms (Abstract)

T. Beielstein , Dept. of Comput. Sci., Dortmund Univ., Germany
M. Pompl , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
J. Dienstuhl , Dept. of Comput. Eng., Missouri Univ., Rolla, MO, USA
C. Feist , Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
pp. 1904-1909

Evolutionary swarm traffic: if ant roads had traffic lights (Abstract)

J. Penner , Dept. of Comput. Sci., Calgary Univ., Alta., Canada
C. Jacob , Dept. of Comput. Sci., Calgary Univ., Alta., Canada
R. Hoar , Dept. of Comput. Sci., Calgary Univ., Alta., Canada
pp. 1910-1915

Rule extraction from an RBF classifier based on class-dependent features (Abstract)

Lipo Wang , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Xiuju Fu , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
pp. 1916-1921

Towards an evolutionary neural network for gait analysis (Abstract)

P. Mordaunt , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
A.M.S. Zalzala , Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
pp. 1922-1927

Learning of neural network parameters using a fuzzy genetic algorithm (Abstract)

H.K. Lam , Centre for Multimedia Signal Process., Hong Kong Polytech.Univ., Kowloon, China
P.K.S. Tam , Centre for Multimedia Signal Process., Hong Kong Polytech.Univ., Kowloon, China
F.H.F. Leung , Centre for Multimedia Signal Process., Hong Kong Polytech.Univ., Kowloon, China
S.H. Ling , Centre for Multimedia Signal Process., Hong Kong Polytech.Univ., Kowloon, China
pp. 1928-1933

GA with orthogonal transformation for RBFN configuration (Abstract)

O. Ciftcioglu , Fac. of Archit., Delft Univ. of Technol., Netherlands
pp. 1934-1939

Evolutionary optimized pitching motion control for F-16 aircraft (Abstract)

Chi-Ho Lee , Dept. of Electron. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Jong-Hwan Kim , Dept. of Electron. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Han-Lim Choi , Centre for Multimedia Signal Process., Hong Kong Polytech.Univ., Kowloon, China
Kang-Hee Lee , Dept. of Electron. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Min-Jea Tahk , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
pp. 1940-1945

Co-evolutionary algorithm approach to a university timetable system (Abstract)

M.H. Lim , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
H.B. Gooi , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
C.K. Chan , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
pp. 1946-1951

Evolving spring-mass models: a test-bed for graph encoding schemes (Abstract)

S. Lucas , Dept. of Comput. Sci., Essex Univ., Colchester, UK
pp. 1952-1957

A memetic algorithm instantiated with selection sort consistently finds global optima for the error-correcting graph isomorphism (Abstract)

V. Estivill-Castro , Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
R. Torres-Velazquez , Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
pp. 1958-1963

Optimal initial structure of the RBF networks using time-frequency localization and genetic algorithm (Abstract)

Jae-Yong Seo , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Hyun-Chan Cho , Centre for Multimedia Signal Process., Hong Kong Polytech.Univ., Kowloon, China
Seong-Joo Kim , Sch. of Electr. & Electron. Eng., Chungang Univ., Seoul, South Korea
Hong-Tae Jeon , Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Jong-Soo Kim , Sch. of Electr. & Electron. Eng., Chungang Univ., Seoul, South Korea
pp. 1964-1969

Evolving fixed-weight networks for learning robots (Abstract)

I. Harvey , Centre for Computational Neurosciences & Robotics, Sussex Univ., Brighton, UK
M. Quinn , Centre for Computational Neurosciences & Robotics, Sussex Univ., Brighton, UK
E. Tuci , Centre for Computational Neurosciences & Robotics, Sussex Univ., Brighton, UK
pp. 1970-1975

Biological immune system by evolutionary adaptive learning of neural networks (Abstract)

S. Oeda , Graduate Sch. of Eng., Tokyo Metropolitan Inst. of Technol., Japan
T. Yamashita , Centre for Computational Neurosciences & Robotics, Sussex Univ., Brighton, UK
T. Icmmura , Centre for Computational Neurosciences & Robotics, Sussex Univ., Brighton, UK
pp. 1976-1981

A new DNA-based evolutionary algorithm with application to the design of fuzzy controllers (Abstract)

Yongsheng Ding , Coll. of Inf. Sci. & Technol., China Textile Univ., Shanghai, China
Lihong Ren , Coll. of Inf. Sci. & Technol., China Textile Univ., Shanghai, China
pp. 1982-1987

Predicting alarms in supermarket refrigeration systems using evolved neural networks and evolved rulesets (Abstract)

J. Harkness , Centre for Multimedia Signal Process., Hong Kong Polytech.Univ., Kowloon, China
D.W. Corne , Reading Univ., UK
D.L. Taylor , Centre for Computational Neurosciences & Robotics, Sussex Univ., Brighton, UK
D.W. Taylor , Reading Univ., UK
pp. 1988-1993

Comparison of Khepera robot navigation by evolutionary neural networks and pain-based algorithm (Abstract)

Liu Xin , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
P. Vadakkepat , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
P. Vadakkepat , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Xiao Peng , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Xiao Peng , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
pp. 1994-1999

Variable selection for financial distress classification using a genetic algorithm (Abstract)

R.K.H. Galveo , Div. Eng. Eletronica, ITA, Sao Paulo, Brazil
V.M. Becerra , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
M. Abou-Seada , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
pp. 2000-2005

Evolving short-term trading strategies using genetic programming (Abstract)

N. Svangard , Chalmers Univ. of Technol., Goteborg, Sweden
P. Nordin , Chalmers Univ. of Technol., Goteborg, Sweden
S. Lloyd , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
C. Wihlborg , Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
pp. 2006-2010

A study on behavioral structure of artificial market based on adaptive game (Abstract)

M. Yamamoto , Graduate Sch. of Eng., Hokkaido Univ., Sapporo, Japan
T. Hamada , Graduate Sch. of Eng., Hokkaido Univ., Sapporo, Japan
H. Kawamura , Graduate Sch. of Eng., Hokkaido Univ., Sapporo, Japan
A. Ohuchi , Graduate Sch. of Eng., Hokkaido Univ., Sapporo, Japan
pp. 2011-2016

Dynamic optimization by evolutionary algorithms applied to financial time series (Abstract)

M. Sekiguchi , Tokyo Univ. of Inf. Sci., Chiba, Japan
K. Kitakaze , Tokyo Univ. of Inf. Sci., Chiba, Japan
K. Yaniasaki , Tokyo Univ. of Inf. Sci., Chiba, Japan
pp. 2017-2022

Evolutionary approaches for statistical modelling (Abstract)

T. Minerva , Dipt. di Sci. Sociali, Univ. of Modena & Reggio Emilia, Italy
S. Paterlini , Dipt. di Sci. Sociali, Univ. of Modena & Reggio Emilia, Italy
pp. 2023-2028

Evolution of market mechanism through a continuous space of auction-types (Abstract)

D. Cliff , Hewlett-Packard Labs., Bristol, UK
pp. 2029-2034

CEC'02 author index (PDF)

pp. 2035-2042
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