摘要
阐述了多目标优化问题的特点,给出了该问题的数学模型及Pareto最优解的定义,介绍了用于解决多目标问题的传统优化方法和进化优化方法,并着重介绍了基于遗传算法的多目标优化方法.最后对传统方法和进化方法进行了比较.
This paper expounds the features of multi-objective optimization problem, and presents the mathematical model of MOP and the theory of Pareto optimal solution. It introduces the classical optimization and evolutionary optimization, especially the multi-objective evolutionary optimization based on genetic algorithm. Finally, it compares these two methods.
出处
《西南民族大学学报（自然科学版）》
CAS
2012年第4期658-661,共4页
Journal of Southwest Minzu University(Natural Science Edition)
基金
中央高校基本科研业务费专项资金(12NZYQN16)资助
关键词
多目标优化问题
单目标优化问题
PARETO最优解
遗传算法
multi-objective optimization problem
single-objective optimization problem
Pareto optimal solution
genetic algorithm
