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Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05)
A New Subpopulation Model for Evolutionary Multimodal Optimization
Timisoara, Romania
September 25-September 29
ISBN: 0-7695-2453-2
ASCII Text
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Rodica Ioana Lung, D. Dumitrescu, "A New Subpopulation Model for Evolutionary Multimodal Optimization," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 339-342, Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005.
 
 
BibTex
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@article{ 10.1109/SYNASC.2005.11,
author = {Rodica Ioana Lung and D. Dumitrescu},
title = {A New Subpopulation Model for Evolutionary Multimodal Optimization},
journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on},
volume = {0},
year = {2005},
isbn = {0-7695-2453-2},
pages = {339-342},
doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2005.11},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
TI - A New Subpopulation Model for Evolutionary Multimodal Optimization
SN - 0-7695-2453-2
SP339
EP342
A1 - Rodica Ioana Lung,
A1 - D. Dumitrescu,
PY - 2005
KW - null
VL - 0
JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
ER -
 
Rodica Ioana Lung, Babeş Bolyai University of Cluj Napoca
D. Dumitrescu, Babeş Bolyai University of Cluj Napoca
A new evolutionary technique for multimodal optimization called Roaming optimization (RO) is presented. Multiple optima are detected using subpopulations evolving in isolation. A new search operator called migration is introduced. A stability measure is defined for subpopulations by which they are characterized as stable or unstable. Stable subpopulations are considered to contain local optima. An external population called the archive is used to store the optima detected. After a number of generations the archive contains all local optima. Experimental results prove the efficiency of the algorithm.
Citation:
Rodica Ioana Lung, D. Dumitrescu, "A New Subpopulation Model for Evolutionary Multimodal Optimization," synasc, pp.339-342, Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005
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