Presentation | 2000/5/19 Controling Selection Pressures with Tabu Lists:Genetic Algorithm for Multimodal and Multiobective Function Optimization KURAHASHI Setsuya, TERANO Takao, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The integration of genetic algorithms(GAs)and tabu search is one of traditional problems in function optimization in the GA literature. However, most proposed methods have utilized genetic algorithms to explore global Candidates and tabu search to exploit local optimal points. Unlike such methods so far, this paper proposes a new algorithm to directly store individuals into multiple tabu lists during GA-iterations. The tabu lists inhibit similar solution candidates from being selected so often. The proposed algorithm is so simple but strong that we can solve both multimodal and multiobjective problems in the same manner. The paper describes the basic idea, algorithms, and experimental results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Tabu Search / Genetic Algorithms / Multimodal Function / Multiobective Function |
Paper # | AI2000-16 |
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Committee | AI |
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Conference Date | 2000/5/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Controling Selection Pressures with Tabu Lists:Genetic Algorithm for Multimodal and Multiobective Function Optimization |
Sub Title (in English) | |
Keyword(1) | Tabu Search |
Keyword(2) | Genetic Algorithms |
Keyword(3) | Multimodal Function |
Keyword(4) | Multiobective Function |
1st Author's Name | KURAHASHI Setsuya |
1st Author's Affiliation | YDSystem corp.:Graduate School of Systems Management, University Tsukuba() |
2nd Author's Name | TERANO Takao |
2nd Author's Affiliation | Graduate School of Systems Management, University Tsukuba |
Date | 2000/5/19 |
Paper # | AI2000-16 |
Volume (vol) | vol.100 |
Number (no) | 89 |
Page | pp.pp.- |
#Pages | 8 |
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