DocumentCode
1835115
Title
A New Adaptive Parallel Genetic Algorithm
Author
Li Junqing ; Du Wencai ; Cai Mei
Author_Institution
Hainan Coll. of Software Technol., Qionghai, China
Volume
2
fYear
2013
fDate
26-27 Aug. 2013
Firstpage
110
Lastpage
113
Abstract
This paper studies the improvement of parallel genetic algorithm. It mainly focuses on the application of adaptive crossover and adaptive mutation to achieve AGA in the population evolution of SGA. It also investigates the application of adaptive strategy to achieve AMPGA in the migration of PGA. On this basis, it puts forward a new algorithm APGA and demonstrates the feasibility and superiority of APGA by providing solutions to functions.
Keywords
genetic algorithms; PGA. migration; adaptive crossover; adaptive mutation; adaptive parallel genetic algorithm; population evolution; Adaptation models; Educational institutions; Electronics packaging; Genetic algorithms; Genetics; Sociology; Statistics; APGA; Adaptive Parallel Genetic Algorithm; Multicore;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-0-7695-5011-4
Type
conf
DOI
10.1109/IHMSC.2013.173
Filename
6642701
Link To Document