Hybrid particle swarm optimization with wavelet mutation and its industrial applications

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 38, Issue 3, 2008, Pages 743-763

  Ling, S H ^a   Iu, H H C ^b   Chan, K Y ^c   Lam, H K ^d   Yeung, Benny C W ^c   Leung, Frank H ^c  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^d KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Load flow problem; Modeling; Mutation operation; Neural network control; Particle swarm optimization; Wavelet theory

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; NEURAL NETWORKS; WAVELET ANALYSIS;

LOAD FLOW PROBLEM; MUTATION OPERATION; NEURAL NETWORK CONTROL; WAVELET THEORY;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; ANIMAL; ANIMAL BEHAVIOR; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOMIMETICS; COMPUTER SIMULATION; INDUSTRY; METHODOLOGY; SIGNAL PROCESSING; THEORETICAL MODEL;

ALGORITHMS; ANIMALS; BEHAVIOR, ANIMAL; BIOMIMETICS; COMPUTER SIMULATION; INDUSTRY; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 44849086452     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.921005     Document Type: Article

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