The Research of Elite Multi-parent Crossover Evolutionary Optimization Algorithm to Mechanism Synthesis

被引：0

作者：

Liu, Qiyuan ^{[1
]}

Che, Xiaoyi ^{[1
]}

Luo, Youxin ^{[1
]}

Zeng, Bin ^{[1
]}

机构：

[1] Hunan Univ Arts & Sci, Coll Mech Engn, Changde 415000, Peoples R China

来源：

ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7 | 2011年 / 204-210卷

关键词：

Evolutionary algorithm; Function optimization; Elite-preservation; Mechanism synthesis; Nonlinear equations;

D O I：

10.4028/www.scientific.net/AMR.204-210.165

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Mechanism synthesis questions are transformed into nonlinear solving equations. On the basis of GuoTao algorithm, we present an elite multi-parent crossover evolutionary optimization algorithm by introducing the elite-preservation strategy and enhancing the selection pressure of parents in the process of crossover. Using the proposed optimization method, we can find quickly all solutions of nonlinear equations of mechanism synthesis. The numerical examples in linkage synthesis show that the method is correct and effective.

引用

页码：165 / 168

页数：4

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