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

Shu Zhi Nie; Yan Hua Zhong

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129Solving Collaborative Manufacturing Resources...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

289-292

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.289

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Online since:

October 2011

Authors:

Shu Zhi Nie, Yan Hua Zhong

Keywords:

Collaborative Manufacturing, DNA Computation, Enetic Algorithm, Resources Optimization Deployment, Subsection Crossover, Subsection Mutation

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