动态多目标优化进化算法研究综述

Research on Dynamic Multiobjective Optimization Evolutionary Algorithms

动态多目标优化进化算法主要研究如何利用进化计算方法求解动态多目标优化问题,其已成为进化计算领城一个新的研究课题.本文首先介绍了动态优化问题的分类,然后描述了动态多目标优化问题的基本概念、数学表述,最后在当前对动态多目标优化进化算法的基本原理、设计目标、研究现状及性能度量讨论的基础上,提出了对动态多目标优化问题需进一步研究的关键问题.

Dynamic multiobjective optimization evolutionary algorithm （DMOEA）, whose main task is to solve dynamic muhiobjective optimization problem （DMOP） by the methods of evolutionary computation, has become one of a new research project in evolutionary computation field. Firstly, the categories of dynamic optimization problem were introduced; second, the basic concepts and the mathematics formal representation of DMOP were described; finally, based on the basic principle, design propose, the discussion of research condition and performance metrics for DMOEA at present, some key viewpoints for future research of DMOP were proposed.