Research on a New DNA-GA Algorithm Based on P System

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

In recent years, DNA-GA algorithms, which attracts many scholars’ attention, combine the DNA encoding method with Genetic algorithm. It effectively overcomes GA’s limitation such as premature convergence, poor local search capability and binary Hamming cliffs problems. In this work, a new DNA-GA algorithm based on P system (PDNA-GA) is proposed to improve the performance of DNA-GA algorithms by combining the parallelism of P system in Membrane Computing. The performance of PDNA-GA in typical benchmark functions is studied. The experimental results demonstrate that the proposed algorithm can effectively yield the global optimum with high efficiency.

Keywords

Membrane computing P system DNA-GA Fitness Genetic operators 

Notes

Acknowledgments

This work is supported by National Science Fund of China (No. 61170038), Science Fund of Shandong province (No. ZR2011FM001) and Social Science Fund of Shandong province (No. 11CGLJ22).

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.School of Management Science and EngineeringShandong Normal UniversityJinanChina

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