Presentation 2014-10-17
A Consideration about the Basic Performance and Dynamical Characteristics of a Simple Dynamical Swarm Intelligence Optimization Method
Yoshikazu YAMANAKA, Tadashi TSUBONE,
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Abstract(in English) In these days, heuristic optimization methods have been widely studied. The advantages of the methods are less dependent to the problems and the speed of getting practical solution. Swarm intelligence optimization methods, such as particle swarm optimization (PSO), firefly algorithm and cuckoo search, are based on the dynamics and the stochastic operation that are inspired by nature. These nature-inspired methods have been applied to many real world problems. However, the stochastic operation makes difficult to analyze the relationship between the dynamics and its performance. In this paper, we propose a novel optimization method based on simple chaotic dynamics and information sharing mechanism. The proposed method is deterministic system and exhibits better performance than PSO.
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Keyword(in English) optimization method / chaos
Paper # CAS2014-69,NLP2014-63
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Committee CAS
Conference Date 2014/10/9(1days)
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Registration To Circuits and Systems (CAS)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Consideration about the Basic Performance and Dynamical Characteristics of a Simple Dynamical Swarm Intelligence Optimization Method
Sub Title (in English)
Keyword(1) optimization method
Keyword(2) chaos
1st Author's Name Yoshikazu YAMANAKA
1st Author's Affiliation Nagaoka University of Technology()
2nd Author's Name Tadashi TSUBONE
2nd Author's Affiliation Nagaoka University of Technology
Date 2014-10-17
Paper # CAS2014-69,NLP2014-63
Volume (vol) vol.114
Number (no) 249
Page pp.pp.-
#Pages 4
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