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|Title:||Membrane optimization algorithm based on mutated PSO and its application in nonlinear control systems|
|Citation:||International Journal of Innovative Computing, Information and Control, 2013; 9(7):2963-2977|
|Jun Wang, Tao Wang, Peng Shi, Min Tu and Fan Yang|
|Abstract:||The PID neural network model was proposed for complex control systems in order to achieve desirable control performance. However, the conventional backward-propagation (BP) algorithm restrains the model's wide applications in control field due to the known reasons. In this paper, a novel variant of particle swarm optimization (PSO), named membrane optimization algorithm based on mutated particle swarm optimaztion (MO-MPSO) is proposed. The MO-MPSO algorithm is an appropriate combination of parison experiments on benchmark functions and the case study show the effectiveness and advantages of the presented algorithm.|
|Keywords:||Membrane computing; PSO; PIDNN; Mutation|
|Rights:||ICIC International © 2013|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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