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.
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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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Zhao, S., Liu, X. (2014). Research on a New DNA-GA Algorithm Based on P System. In: Li, S., Jin, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_194
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DOI: https://doi.org/10.1007/978-94-007-7618-0_194
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