A Multi-stage Evolutionary Algorithm for Solving Complex Function Optimization Problems

Yunhao Li, Shuting Chen
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引用次数: 4

Abstract

Based on the analysis of defects of traditional evolutionary algorithms in solving global optimization of non-linear or multi-modal function, a novel evolutionary algorithm called Multi-Stage Evolutionary Algorithm (MSEA) is proposed. MSEA has many new features. It develops some new operators such as multi-parent crossover operator with elite-preservation, dynamical mutation operator, space contraction operator, etc; It introduces a new multi-stage algorithm framework. The simulation results on some typical test problems show that MSEA proposed in this paper is better than existing evolutionary algorithm in the accuracy of solutions.
求解复杂函数优化问题的多阶段进化算法
在分析传统进化算法在求解非线性或多模态函数全局优化问题上存在缺陷的基础上,提出了一种新的进化算法——多阶段进化算法。MSEA有许多新特性。开发了一些新的算子,如带精英保存的多亲本交叉算子、动态变异算子、空间收缩算子等;提出了一种新的多阶段算法框架。对一些典型测试问题的仿真结果表明,本文提出的MSEA算法在解的精度上优于现有的进化算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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