DocumentCode
3448092
Title
The Analysis and Research of Parallel Genetic Algorithm
Author
Xue Shengjun ; Guo Shaoyong ; Bai Dongling
Author_Institution
Comput. & Software Inst., Nanjing Univ. of Inf. Sci. & Technol., Nanjing
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
With the application of the genetic algorithm (GA) deeply developed, the research of parallel genetic algorithm (PGA) and its realization become very important. Because of PGA inner parallel mechanism, its parallel process becomes a very naturally resolvable method. In this paper, four kinds of parallel models of parallel genetic algorithms, such as master- slave model, coarse-grained model, fine-grained model and mixed model, are simply generalized and evaluated. For every model, its characteristics are displayed. As for the existing problem to each model, the concerning parameters are illustrated in order to improve them. Then some main evaluation models of parallel genetic algorithms are presented. At the end, it is shown that parallel genetic algorithms should go on further study in the future.
Keywords
genetic algorithms; parallel algorithms; coarse-grained model; fine-grained model; master-slave model; mixed model; parallel genetic algorithm; parallel process; Algorithm design and analysis; Application software; Concurrent computing; Electronics packaging; Genetic algorithms; Information analysis; Information science; Optimized production technology; Parallel processing; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.1275
Filename
4679183
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