Title :
A New Adaptive Parallel Genetic Algorithm
Author :
Li Junqing ; Du Wencai ; Cai Mei
Author_Institution :
Hainan Coll. of Software Technol., Qionghai, China
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;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
DOI :
10.1109/IHMSC.2013.173
