Presentation | 2012-04-20 Bee Colony Optimization with Role and Responsibility Yudai SHIRASAKI, Yoko UWATE, Yoshifumi NISHIO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In previous study, we proposed Bee Colony Optimization with Role and Responsibility(BCORR) as new Bee Colony Optimization(BCO) for a kind of swarm intelligence. BCORR does Role and Responsibility that is performed like an actual honeybee like the search-bee who performs a global search, and recruit-bee who performs a local search. In this study, we proposes a new BCORR for Parallel Searching with Local Search and Global Search. And, it is added new two functions in BCORR, one is very large-scale heighborhood for global search, another is the determine method of local search position for local search. We apply HCORR to Traveling Salesman Problems(TSPs) and confirm that HCORR obtains more effective results than the standard HCO. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Optimization / Traveling Salesman Problem / Honeybee / Local Search |
Paper # | NLP2012-16 |
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Committee | NLP |
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Conference Date | 2012/4/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Bee Colony Optimization with Role and Responsibility |
Sub Title (in English) | |
Keyword(1) | Optimization |
Keyword(2) | Traveling Salesman Problem |
Keyword(3) | Honeybee |
Keyword(4) | Local Search |
1st Author's Name | Yudai SHIRASAKI |
1st Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University() |
2nd Author's Name | Yoko UWATE |
2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
3rd Author's Name | Yoshifumi NISHIO |
3rd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
Date | 2012-04-20 |
Paper # | NLP2012-16 |
Volume (vol) | vol.112 |
Number (no) | 6 |
Page | pp.pp.- |
#Pages | 5 |
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