Presentation 2010-12-13
Pheromone-Based Honeybee Colony Optimization
Yudai SHIRASAKI, Sho SHIMOMURA, Masaki SUGIMOTO, Yoko UWATE, Yoshifumi NISHIO,
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Abstract(in English) In this study, we propose new honeybee colony optimization (BA) containing pheromone action that has the effect to attract other bees. Since many bees are attracted to the best site, the proposed BA can converge to the optimal solution more quickly. We confirm the effectiveness of the proposed new BA for both unimodal and multimodal functions with various dimensions
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Keyword(in English) Optimization / Pheromone / Honeybee / Object function
Paper # NLP2010-113
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Conference Information
Committee NLP
Conference Date 2010/12/6(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Pheromone-Based Honeybee Colony Optimization
Sub Title (in English)
Keyword(1) Optimization
Keyword(2) Pheromone
Keyword(3) Honeybee
Keyword(4) Object function
1st Author's Name Yudai SHIRASAKI
1st Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University()
2nd Author's Name Sho SHIMOMURA
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
3rd Author's Name Masaki SUGIMOTO
3rd Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
4th Author's Name Yoko UWATE
4th Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
5th Author's Name Yoshifumi NISHIO
5th Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
Date 2010-12-13
Paper # NLP2010-113
Volume (vol) vol.110
Number (no) 335
Page pp.pp.-
#Pages 4
Date of Issue