Paper Title:
The Research of Elite Multi-Parent Crossover Evolutionary Optimization Algorithm to Mechanism Synthesis
  Abstract

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.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
165-168
DOI
10.4028/www.scientific.net/AMR.204-210.165
Citation
Q. Y. Liu, X. Y. Che, Y. X. Luo, B. Zeng, "The Research of Elite Multi-Parent Crossover Evolutionary Optimization Algorithm to Mechanism Synthesis", Advanced Materials Research, Vols. 204-210, pp. 165-168, 2011
Online since
February 2011
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$32.00
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