摘要
提出了1种基于复合形法的改进遗传算法,分析该算法与遗传算法相结合的思想和流程;通过算法测试函数Rosenbrock测试改进的算法;通过与常规算法的对比,验证该传算法的优越性,并将该算法应用到一种间歇反应器的温度优化问题中.该算法可为常规的单目标或多目标优化问题提供借鉴.
An improved genetic algorithm based on box complex method was proposed, the idea and process for the box complex method combined with genetic algorithm were analyzed, and then the improved algorithm by famous test function of Rosenbrock algorithm was tested, the superiority of improved genetic algorithm was validated by contrast with the conventional algorithm, and then it was applied to a batch reactor temperature optimization. The improved algorithm can provide a reference for conventional single-target or multi-objective optimization problem.
出处
《北华大学学报（自然科学版）》
CAS
2016年第5期693-696,共4页
Journal of Beihua University（Natural Science）
基金
国家教育部春晖计划项目(104900150)
国家自然科学基金项目(61072111)
吉林省科技发展计划项目(20140101206JC-16)
关键词
复合形法
遗传算法
优化
间歇反应器
box complex
genetic algorithm
optimization
batch reactor
