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

Abstract:

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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 et al., "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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Price:

$35.00

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