摘要
针对传统多目标优化设计方法的弱点,基于Pareto概念,借助遗传算法所具有的并行搜索特性,引入群体排序技术、小生境技术求得多目标优化问题的Pareto解集,实现了先寻优后决策的求解模式。实际工程算例表明,该模式可同时获得多个Pareto最优解,据此决策能有效弱化设计人员先验知识不足的影响,因而较传统多目标优化方法更为实用有效。
In view of the shortcomings of traditional multi - objective optimization methods, the Pareto sets of multi - objective optimization problem is provided by introducing population ranking and niche technique into genetic algorithm. The pattern making decision after marching optimun solutions is realized. Several Pareto optimum solutions can be obtained and this weaken designer＇s transcendental information deficiency problem. An engineering example shows that the pattern is more applicable and effective than traditional one.
出处
《起重运输机械》
北大核心
2006年第9期13-15,共3页
Hoisting and Conveying Machinery
