DocumentCode
2217148
Title
Quasi-parallel genetic algorithms with different communication topologies
Author
Wang, Guan ; Wu, Degang ; Szeto, K.Y.
Author_Institution
Dept. of Phys., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear
2011
fDate
5-8 June 2011
Firstpage
721
Lastpage
727
Abstract
Systematic testing of parallel genetic algorithm defined on simple topologies such as ring, band, and fully connect graph are made with two benchmark problems, the 0-1 Knapsack Problem and the Weierstrass function. With fixed communication rule between sub-populations, our numerical results indicate that the band configuration is superior to other topologies tested. A heuristic understanding in terms of the compromise between exploitation and exploration in the solution space is suggested.
Keywords
genetic algorithms; graph theory; knapsack problems; parallel algorithms; Knapsack Problem; Weierstrass function; band configuration; communication topologies; quasiparallel genetic algorithms; Biological cells; Exchange rates; Genetic algorithms; Network topology; Parallel processing; Scalability; Topology; Knapsack Problem; Optimization; Parallel Genetic Algorithms; Topology; Weierstrass Function;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location
New Orleans, LA
ISSN
Pending
Print_ISBN
978-1-4244-7834-7
Type
conf
DOI
10.1109/CEC.2011.5949690
Filename
5949690
Link To Document