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 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.
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Keyword(in English) Genetic algorithm / Optimum / Floorplan design problem
Paper # VLD99-98,CPSY99-107
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Committee CPSY
Conference Date 2000/1/12(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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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