DocumentCode
419124
Title
Parallel evolutionary programming
Author
Tongchim, Shisanu ; Yao, Xin
Author_Institution
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
Volume
2
fYear
2004
fDate
19-23 June 2004
Firstpage
1362
Abstract
This work presents a study of parallel evolutionary programming (EP). The paper is divided into two parts. The first part proposes a concept of parallel EP. Four numerical functions are used to compare the performance between the serial algorithm and the parallel algorithm. In the second part, we apply parallel EP to a more complicated problem - an evolving neural networks problem. The results from this problem show that the parallel version is not only faster than the serial version, but the parallel version also more reliably finds optimal solutions.
Keywords
evolutionary computation; neural nets; parallel algorithms; parallel programming; neural networks problem; numerical functions; parallel evolutionary programming; serial algorithm; Computer science; Concurrent computing; Convergence; Encoding; Genetic algorithms; Genetic mutations; Genetic programming; Neural networks; Parallel algorithms; Parallel programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1331055
Filename
1331055
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