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Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06)
A New Scheme of Using Inference Inside Evolutionary Computation Techniques to Solve CSPs
Timisoara, Romania
September 26-September 29
ISBN: 0-7695-2740-X
ASCII Text
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Madalina Ionita, Mihaela Breaban, Cornelius Croitoru, "A New Scheme of Using Inference Inside Evolutionary Computation Techniques to Solve CSPs," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 323-329, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006.
 
 
BibTex
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@article{ 10.1109/SYNASC.2006.7,
author = {Madalina Ionita and Mihaela Breaban and Cornelius Croitoru},
title = {A New Scheme of Using Inference Inside Evolutionary Computation Techniques to Solve CSPs},
journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on},
volume = {0},
year = {2006},
isbn = {0-7695-2740-X},
pages = {323-329},
doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.7},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
TI - A New Scheme of Using Inference Inside Evolutionary Computation Techniques to Solve CSPs
SN - 0-7695-2740-X
SP323
EP329
A1 - Madalina Ionita,
A1 - Mihaela Breaban,
A1 - Cornelius Croitoru,
PY - 2006
KW - null
VL - 0
JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
ER -
 
Madalina Ionita, "Al. I. Cuza" University, Iasi, Romania
Mihaela Breaban, "Al. I. Cuza" University, Iasi, Romania
Cornelius Croitoru, "Al. I. Cuza" University, Iasi, Romania
Combining inference and search produces successful schemes for solving constraint satisfaction problems. Based on this idea a general scheme which uses inference inside evolutionary computation techniques is presented. A Genetic Algorithm and the Particle Swarm Optimization heuristic make use of adaptable inference levels offered by the Mini-Bucket Elimination algorithm. Experimental results prove the efficiency of our approach in solving the Max-CSP optimization task. The inference/search trade-off is analyzed.
Citation:
Madalina Ionita, Mihaela Breaban, Cornelius Croitoru, "A New Scheme of Using Inference Inside Evolutionary Computation Techniques to Solve CSPs," synasc, pp.323-329, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006
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