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微粒群优化算法在装备制造业的应用方向研究
引用本文:巢一飞.微粒群优化算法在装备制造业的应用方向研究[J].价值工程,2012,31(30):36-38.
作者姓名:巢一飞
作者单位:中国国电集团公司谏壁发电厂教育培训中心,镇江,212006
摘    要:为了优化和创新造船模式,本文分析了一种新型算法——微粒群优化算法(PSO)的原理,并探索其在大型钢结构领域方向的应用,简要设想了分段堆放优化、水火弯板工艺参数和车间生产作业调度优化等三个方面,达到省时省资源和能量,以促进制造业更好的发展。

关 键 词:微粒群算法  装备制造  分段堆放  水火弯板  车间调度

Particle Swarm Optimization Applied into Equipment Manufacturing Industry
CHAO Yi-fei.Particle Swarm Optimization Applied into Equipment Manufacturing Industry[J].Value Engineering,2012,31(30):36-38.
Authors:CHAO Yi-fei
Institution:CHAO Yi-fei(China Guodian Corporation Education and Training Center of Jianbi Power Plant,Zhenjiang 212006,China)
Abstract:To optimize and bring forth new ideas into shipbuilding mode,the article analyze the principle of a new algorithm—particle swarm optimization(PSO) and envisage it applied into large steel,envisaging the optimization of subsection placement,line-heating process parameter and Job-shop Scheduling,take less time and energy,to promote the better development of Chinese manufacturing industry.
Keywords:PSO  equipment manufacturing industry  Subsection Placement  line-heating  Job-shop Scheduling
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