Presentation | 2000/1/12 A Selected Mutation on Genetic Algorithm for the Floorplan Design Problem Kosuke FUNABORI, Ryo DANG, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Genetic Algorithm(GA)for the floorplan design problem employs three mutaions. We propose a new algorithm dubbed Selected Mutation Genetic Algorithm(SMGA), whereby the first solution is selected among three mutaions. It is found that SMGA can reach an optimal solution without searching the bad solutions during the local search in the solution space. Experiment shows that SMGA yields better results than GA. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Genetic algorithm / Optimum / Floorplan design problem |
Paper # | VLD99-98,CPSY99-107 |
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Conference Information | |
Committee | CPSY |
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Conference Date | 2000/1/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Computer Systems (CPSY) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Selected Mutation on Genetic Algorithm for the Floorplan Design Problem |
Sub Title (in English) | |
Keyword(1) | Genetic algorithm |
Keyword(2) | Optimum |
Keyword(3) | Floorplan design problem |
1st Author's Name | Kosuke FUNABORI |
1st Author's Affiliation | Hosei University() |
2nd Author's Name | Ryo DANG |
2nd Author's Affiliation | Hosei University |
Date | 2000/1/12 |
Paper # | VLD99-98,CPSY99-107 |
Volume (vol) | vol.99 |
Number (no) | 532 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |