The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem

Xiu Feng Shao; Jian Zhang; Li  Li

doi:10.4028/www.scientific.net/AMR.760-762.2146

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762The Application of Hybrid Genetic Algorithms Model...

The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem

Abstract:

We introduce basic theory of genetic algorithms in this paper, Build one hybrid genetic algorithms model base on genetic algorithms in solving product optimization problem. And we realize the model by software. The disposal result of real data tells us that the model has good practicability and accuracy to the problem of product optimization problem.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

2146-2150

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.2146

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Cite this paper

Online since:

September 2013

Authors:

Xiu Feng Shao, Jian Zhang, Li Li

Keywords:

Fitness Function, Genetic Algorithm (GA), Hybrid Genetic Algorithm, Product Optimization

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