Serial configuration of genetic algorithm and particle swarm optimization to increase the convergence speed and accuracy

Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Volumn , Issue , 2010, Pages 272-277

  Alizadeh, Gh ^a   Baradarannia, M ^a   Yazdizadeh, P ^a   Alipouri, Y ^b  

^a UNIVERSITY OF TABRIZ   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Hybrid evolutionary algorithm; Increasing accuracy; Increasing convergence speed; Serial genetic algorithm and particle swarm optimization

Indexed keywords

CONVERGENCE SPEED; FAST EVOLUTIONARY PROGRAMMING; GLOBAL MINIMA; HIGH-DIMENSIONAL; HYBRID ALGORITHMS; HYBRID EVOLUTIONARY ALGORITHM; INCREASING ACCURACY; INCREASING CONVERGENCE SPEED; JUMPING GENE; LOW DIMENSIONAL; MULTI-MODAL; ORIGINAL PARTICLE SWARM OPTIMIZATION; SERIAL GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATION; SIMULATION RESULT;

COMPUTER PROGRAMMING; COST FUNCTIONS; COSTS; FUNCTION EVALUATION; GENETIC ALGORITHMS; INTELLIGENT SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); SYSTEMS ANALYSIS;

CONVERGENCE OF NUMERICAL METHODS;

EID: 79851503483     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2010.5687252     Document Type: Conference Paper

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