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。
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.
出处
《价值工程》
2012年第30期36-38,共3页
Value Engineering
关键词
微粒群算法
装备制造
分段堆放
水火弯板
车间调度
PSO
equipment manufacturing industry, Subsection Placement
line-heating
Job-shop Scheduling