An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization

Neurocomputing

Volumn 167, Issue , 2015, Pages 569-577

  Che, Hangjun ^a   Li, Chuandong ^a   He, Xing ^a   Huang, Tingwen ^b  

^a SOUTHWEST UNIVERSITY   (China)

^b TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

Author keywords

Global best; Nonconvex optimization; Shuffled frog leaping algorithm; Swarm neural networks

Indexed keywords

DIFFERENTIAL EQUATIONS; NETWORK LAYERS; NUMERICAL METHODS; OPTIMIZATION; PROBLEM SOLVING; RECURRENT NEURAL NETWORKS;

CONSTRAINED NONCONVEX OPTIMIZATIONS; CONVERGENCE PROPERTIES; GLOBAL BEST; GLOBAL SEARCHING ABILITY; NONCONVEX OPTIMIZATION; NONCONVEX OPTIMIZATION PROBLEM; RECURRENT NEURAL NETWORK (RNN); SHUFFLED FROG LEAPING ALGORITHM (SFLA);

CONSTRAINED OPTIMIZATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; ONE LAYER RECURRENT NEURAL NETWORK; PRIORITY JOURNAL; PROBLEM SOLVING; PROCESS DEVELOPMENT; PROCESS MODEL; PROCESS OPTIMIZATION; SHUFFLED FROG LEAPING ALGORITHM; SWARM NEURAL NETWORK;

EID: 84952628160     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.04.033     Document Type: Article

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