微粒群优化算法在装备制造业的应用方向研究

摘要

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.%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.