摘要
为了提高复杂控制系统设计问题中的效率,提出了一种基于主从模型的并行多目标遗传算法的优化器模型。主进程进行各类遗传操作和最优排序操作,所有进程都进行目标函数值和约束函数值的运算操作,并采用动态负载平衡策略。将该优化器应用在飞行器控制系统设计中,显示出了该算法的优良效果。
To improve the efficiency of complex control system design problems, a parallel multi-objective genetic algorithm based Master-Slave prototype is suggested. Master processor processes all the GA operators and Pareto Ranking operator. All processors evaluate the object and constraint functions value. Dynamic load balance strategy is applied. Through the application to the design of aircraft control system, the scheme is proved being very effective.
出处
《微计算机信息》
北大核心
2005年第08S期18-19,36,共3页
Control & Automation
基金
国防科技重点实验室基金项目(51474040204HT0802)
关键词
多目标优化
遗传算法
并行计算
multi-objective optimization
genetic Algorithm
parallel algorithm
