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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | optimization method / chaos |
Paper # | CAS2014-69,NLP2014-63 |
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Committee | CAS |
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Conference Date | 2014/10/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Circuits and Systems (CAS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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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