Research on Improved Immune Genetic Algorithm and its Application in Integration Planning

Wu Xue Jiang; Min Xia Liu

doi:10.4028/www.scientific.net/AMR.998-999.1058

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Research on Improved Immune Genetic Algorithm and...

Research on Improved Immune Genetic Algorithm and its Application in Integration Planning

Abstract:

In order to improve the efficiency of intelligence algorithm in integration planning and to avoid “premature” phenomenon, an improved genetic algorithm strategy-a method based on fitness density and scaling is proposed in the paper. It applies a new encoding way of integration planning. The two examples of simulation experiments show that the genetic improvement strategy could significantly reduce solving algebra and prevent “premature” phenomenon.

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Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

1058-1061

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.1058

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Online since:

July 2014

Authors:

Wu Xue Jiang*, Min Xia Liu

Keywords:

Fitness Density Function, Genetic Algorithm (GA), Integration Planning, Premature, Scaling

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* - Corresponding Author

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