The inertia weight self-adapting in PSO

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 5308-5312

  Dong, Chen ^a,b   Wang, Gaofeng ^a   Chen, Zhenyi ^c  

^a WUHAN UNIVERSITY   (China)

^b FUZHOU UNIVERSITY   (China)

^c Fuzhou Electric Power Industry Bureau   (China)

Author keywords

Inertia weight; PSO; Self adapting; Swarm size

Indexed keywords

EVOLUTIONARY ALGORITHMS; INDUSTRIAL ENGINEERING; INTELLIGENT CONTROL; OPTIMIZATION; TECHNOLOGY; WEIGHING;

CONTROL AND AUTOMATION; CONVERGENCE RATES; ENGINEERING OPTIMIZATION PROBLEMS; FAST CONVERGENCE RATE; GLOBAL EXPLORATION; GLOBAL MINIMUM; GLOBAL OPTIMUM; GLOBAL SEARCH CAPABILITY; INERTIA WEIGHT; LARGE-SCALE PROBLEMS; LOCAL SEARCH; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO; PSO ALGORITHMS; SELF-ADAPTING; SELF-ADAPTIVE; SPECIAL FUNCTIONS; SWARM SIZE; TO MANY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 52149083952     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4593794     Document Type: Conference Paper

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