Solving Collaborative Manufacturing Resources Optimization Deployment Problems Based on Improved DNA Genetic Algorithm

Abstract:

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In this paper, According to the collaborative manufacturing resources optimization deployment problems, designed subsection crossover and subsection mutation based on process code, adopted fitness scaling method and ranking method to select operators, proposed an improved genetic algorithm based on DNA computation for solving the resources optimization deployment problems, so that the offspring are better able to inherit the good features of parent. Through simulation, tested the designed algorithm performance; by comparing with conventional genetic algorithm test results, it proved the validity of the designed algorithm.

Info:

Periodical:

Edited by:

Zhixiang Hou

Pages:

289-292

DOI:

10.4028/www.scientific.net/AMM.128-129.289

Citation:

S. Z. Nie and Y. H. Zhong, "Solving Collaborative Manufacturing Resources Optimization Deployment Problems Based on Improved DNA Genetic Algorithm", Applied Mechanics and Materials, Vols. 128-129, pp. 289-292, 2012

Online since:

October 2011

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Price:

$35.00

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