Abstract
This paper describes the broad framework for the hybridization of P-systems or Membrane Computing and Particle Swarm Optimization with a view to minimize nonlinear optimization problems. The paper highlights that very few papers are available on the hybridization and concludes that a lot of scope of research is possible in this domain.
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References
Paun, G.: Computing with membranes. J. Comput. Syst. Sci. 61, 108–143 (2000)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of International Conference on Neural Networks, pp. 1942–1948 (1995)
Huang, L., Wang, N.: An optimization algorithm inspired by membrane computing. In: International Conference on Natural Computation, 2006. Lecture Notes in Computer Science, vol. 4222, pp. 49–52 (2006)
Zhang, G.X., Cheng, J.X., Gheorghe, M.: A membrane-inspired approximate algorithm for travelling salesman problems. Rom. J. Inf. Sci. Tech. 14, 3–19 (2011)
Zhang, G.X., Gheorghe, M., Wu, C.Z.: A quantum-inspired evolutionary algorithm based on P systems for a class of combinatorial optimization. Fundam. Inform. 87, 93–116 (2008)
Zhou, F., Zhang, G., Rong, H., Gheorghe, M., Cheng, J., Ipate, F., Lefticaru, R.: A particle swarm optimization based on P systems. In: 6th IEEE International Conference on Natural Computation, pp. 3003–3007 (2010)
Yang, S., Zhang, L., Gu, X.S.: Membrane computing based particle swarm optimization algorithm and its application. In: 5th IEEE International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), pp. 631–636 (2010)
Zhang, G., Zhou, F., Huang, X., Cheng, J., Gheorge, M., Ipate, F., Lefticaru, R.: A novel membrane algorithm based on particle swarm optimization for solving broadcasting problems. J. Univers. Comput. Sci. 18, 1821–1841 (2012)
Lefticaru, R., Ipate, F., Gheorghe, M., Zhang, G.X.: Tuning P-systems for solving the broadcasting problem. In: Proceedings of the 10th Workshop on Membrane Computing, pp. 337–354 (2010)
Xiao, J., Huang, Y., Cheng, Z.: A bio-Inspired algorithm based on membrane computing for engineering design problem. Int J. Comput. Sci. 10, 580–588 (2013)
Zhong, Y., Nie, S.: An improved particle swarm optimization algorithm based on membrane structure. Int. J. Comput. Sci. 10, 532–537 (2013)
Wang, J., Wang, T., Shi, P., Tu, M., Yang, F.: Membrane optimization algorithm based on mutated PSO and its application in nonlinear control systems. Int. J. Innovative Comput. Inf. Control. 9, 2963–2977 (2013)
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Singh, G., Deep, K. (2014). Hybridization of P Systems and Particle Swarm Optimization for Function Optimization. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_34
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DOI: https://doi.org/10.1007/978-81-322-1771-8_34
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Publisher Name: Springer, New Delhi
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Online ISBN: 978-81-322-1771-8
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