An improved particle swarm optimization with feasibility-based rules for mixed-variable optimization problems

2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009

Volumn , Issue , 2009, Pages 897-903

  Sun, Chao Li ^a   Zeng, Jian Chao ^a   Pan, Jeng Shyang ^b,c  

^a TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

^c NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

Feasibility based rules; Mixed variable optimization problems; Particle swarm optimization

Indexed keywords

CONSTRAINED OPTIMIZATION PROBLEMS; CONSTRAINT HANDLING; CONVERGENCE SPEED; DISCRETE VALUES; FEASIBILITY-BASED RULES; FEASIBLE REGIONS; GLOBAL OPTIMUM; IMPROVED PARTICLE SWARM OPTIMIZATION; IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHMS; OPTIMIZATION PROBLEMS; PENALTY FUNCTION; STANDARD PSO;

CONSTRAINED OPTIMIZATION; REACTIVE POWER;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77951465190     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2009.89     Document Type: Conference Paper

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