The Application of Improved Genetic Algorithm in Gate Location Optimization of Plastic Injection Molding

Xi Chen; Xi Cheng Wang

doi:10.4028/www.scientific.net/AMR.694-697.2721

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697The Application of Improved Genetic Algorithm in...

The Application of Improved Genetic Algorithm in Gate Location Optimization of Plastic Injection Molding

Abstract:

A multi-population genetic algorithm based on species equation and Kriging operator is presented in this paper. The parameters of species equation are considered as design variables and processed by real coding, the equation is regarded as modified arithmetic crossover operator to participate in genetic operation. The Kriging operator is bought in to enhance the ability of search optimal solution and promote convergence. The improved genetic algorithm, combined with Z-MOLD simulation program, is used to search the optimal gate location. The results show that the algorithm can effectively solve the plastic injection molding problem.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

2721-2724

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.2721

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Online since:

May 2013

Authors:

Xi Chen, Xi Cheng Wang

Keywords:

Gate Location Design, Genetic Algorithm (GA), Kriging Operator, Optimization, Species Equation

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