计算机工程与应用Issue(17)：223-229,7.DOI:10.3778/j.issn.1002-8331.1310-0198
求解机组组合问题的改进型人工鱼群算法研究
Improved artificial fish swarm algorithm for combined allocation problem
摘要
Abstract
An improved artificial fish swarm algorithm is proposed. The new algorithm uses the linear decreasing func-tion instead of a fixed visual, uses linear decreasing inertia weight as the Particle Swarm Optimization(PSO)to accelerate the convergence speed of the algorithm, and uses chaos phenomenon instead of random phenomena of BAFSA. It pres-ents the global convergence proof and carries on the simulation experiment with the test function and the systems of three units and ten units. The results show that the improved algorithm can escape from the local extremum effectively, and has higher convergence speed and precision. So it can be used as an effective algorithm for combined allocation problem.关键词
机组组合/人工鱼群/线性递减/混沌搜索Key words
unit commitment/Artificial Fish Swarm Algorithm(AFSA)/linear decreasing/chaos search分类
信息技术与安全科学引用本文复制引用
翟军臣,杜廷松,李德宜,李文武..求解机组组合问题的改进型人工鱼群算法研究[J].计算机工程与应用,2014,(17):223-229,7.基金项目
国家自然科学基金（No.61174216，No.61374028）；湖北省自然科学基金（No.2013CFA131）；冶金工业过程系统科学湖北省重点实验室（武汉科技大学）开放基金（No.z201402）。 （）
