Particle swarm optimization & gravitational search algorithm in sequential process planning

Particle swarm optimization & gravitational search algorithm in sequential process planning

The purpose of this study is to investigate the application of particle swarm optimization (PSO) and gravitational search algorithm (GSA) in assembly sequence planning problem, to look for the sequence which require the least assembly time. The problem model is an assembly process with 25 parts, whi...

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書目詳細資料
主要作者:	Lim, Teik Yee
格式:	Thesis
語言:	English
出版:	2013
主題:	TK Electrical engineering Electronics Nuclear engineering
在線閱讀:	http://eprints.utm.my/id/eprint/33817/5/LimTiekYeeMFKE2013.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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