Membrane optimization algorithm based on mutated PSO and its application in nonlinear control systems
Date
2013
Authors
Wang, J.
Wang, T.
Shi, P.
Tu, M.
Yang, F.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
International Journal of Innovative Computing, Information and Control, 2013; 9(7):2963-2977
Statement of Responsibility
Jun Wang, Tao Wang, Peng Shi, Min Tu and Fan Yang
Conference Name
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.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
ICIC International © 2013