DocumentCode
1991149
Title
Analysis of implicit parallelism in evolutionary algorithms: a stochastic version
Author
Lixin, Ding ; Lishan, Kang
Author_Institution
State Key Lab. of Software Eng., Wuhan Univ., China
fYear
2001
fDate
2001
Firstpage
172
Lastpage
179
Abstract
Implicit parallelism in evolutionary algorithms is discussed. Under the condition of sampling populations with equal probability, an accurate expression of the expected number of different schemata processed by the evolutionary algorithms in each generation is obtained. Moreover, some kinds of the upper and lower bounds of the expected number are estimated
Keywords
computational complexity; evolutionary computation; parallel algorithms; probability; sampling methods; stochastic processes; evolutionary algorithms; expected number; expected schemata; implicit parallelism analysis; sampling populations; stochastic version; Algorithm design and analysis; Evolutionary computation; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Multimedia Applications, 2001. ICCIMA 2001. Proceedings. Fourth International Conference on
Conference_Location
Yokusika City
Print_ISBN
0-7695-1312-3
Type
conf
DOI
10.1109/ICCIMA.2001.970463
Filename
970463
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