Application of Genetic Algorithm Based on Real Number Encoding to Optimization Design for Rolling Schedule of Tandem Cold Rolling

Xin Qiu Zhao

doi:10.4028/www.scientific.net/AMR.383-390.6014

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Application of Genetic Algorithm Based on Real...

Application of Genetic Algorithm Based on Real Number Encoding to Optimization Design for Rolling Schedule of Tandem Cold Rolling

Abstract:

Rolling schedule is the core contents of rolling process. A reasonable rolling schedule can make rolling process to obtain optimum state. There are more mathematic models and the constraint conditions to be considered in the rolling schedule, therefore, the optimization becomes a complex problem. In this paper, genetic algorithms based on real number encoding are used to optimize rolling schedule aiming at equating the relative load and optimum plate shape though instance. The optimum result shows that the method is satisfactory and promising.

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

6014-6018

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.6014

Citation:

Cite this paper

Online since:

November 2011

Authors:

Xin Qiu Zhao

Keywords:

Genetic Algorithm (GA), Optimization, Real Number Coding, Rolling Schedule

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References

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