An inertia-adaptive particle swarm system with particle mobility factor for improved global optimization

Neural Computing and Applications

Volumn 21, Issue 2, 2012, Pages 237-250

  Ghosh, Sayan ^a   Das, Swagatam ^a   Kundu, Debarati ^a   Suresh, Kaushik ^a   Panigrahi, B K ^b   Cui, Zhihua ^c  

^a JADAVPUR UNIVERSITY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

^c TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Benchmark functions; Comprehensive learning; Dynamics of swarm; Global optimization; Particle swarm systems; Swarm intelligence

Indexed keywords

BENCHMARK FUNCTIONS; BEST POSITION; COMPREHENSIVE LEARNING; CONVERGENCE SPEED; INERTIA WEIGHT; MOBILITY FACTORS; NATURE-INSPIRED ALGORITHMS; PARTICLE MOBILITY; PARTICLE SWARM SYSTEMS; PSO ALGORITHMS; REAL-PARAMETER OPTIMIZATION; SEARCH PERFORMANCE; SWARM INTELLIGENCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CELLULAR AUTOMATA; DYNAMICS; GLOBAL OPTIMIZATION; OSCILLATORS (ELECTRONIC); STEADY FLOW;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84857656487     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-010-0356-x     Document Type: Article

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