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http://dx.doi.org/10.5391/JKIIS.2008.18.5.649

Development of MF-Dos using Adaptive PSO Algorithm  

Hwang, Gi-Hyun (동서대학교 컴퓨터공학부)
Yang, Kang-Ho (한국전기연구원)
Ju, Mun-No (한국전기연구원)
Lee, Min-Jung (전남대학교 에너지파웨센터)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.5, 2008 , pp. 649-658 More about this Journal
Abstract
In this paper, we proposed an adaptive PSO(APSO) algorithm which changes parameter values with every recursion based on the conventional particle swam optimization(CPSO). In order to solve the optimization problem, the proposed APSO algorithm is applied to some functions, such as the De Jong function, Ackley function, Davis function and Griewank function. The superiority of the proposed APSO algorithm compared with the genetic algorithm(GA) is proved through the numerical experiment. Finally we applied the proposed algorithm to developing a function for personal magnetic field exposure based with real datas which are acquired based on the consumer research and field measuring instrument.
Keywords
Personal magnetic field exposure; PSO; APSO; Optimization; GA;
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