Fuzzy logic controllers optimization using genetic algorithms and particle swarm optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6438 LNAI, Issue PART 2, 2010, Pages 475-486

  Martinez Soto, Ricardo ^a   Castillo, Oscar ^b   Aguilar, Luis T ^c   Melin, Patricia ^b  

^a UNIVERSIDAD AUTÓNOMA DE BAJA CALIFORNIA   (Mexico)

^b TIJUANA INSTITUTE OF TECHNOLOGY   (Mexico)

^c INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

Fuzzy Logic Controllers; Genetic Algorithms; Particle Swarm Optimization

Indexed keywords

BIO-INSPIRED; EVOLUTIONARY METHOD; EVOLUTIONARY OPTIMIZATION METHOD; FUZZY LOGIC CONTROLLERS; OPTIMAL CONTROLLER; PARTICLE SWARM; SIMULATION RESULT; SIMULINK; STEADY STATE ERRORS;

ARTIFICIAL INTELLIGENCE; CONTROLLERS; FUZZY LOGIC; FUZZY SYSTEMS; LINEAR SYSTEMS; MEMBERSHIP FUNCTIONS; PARTICLE SWARM OPTIMIZATION (PSO); PREDICTIVE CONTROL SYSTEMS; SOFT COMPUTING; COMPUTATION THEORY; COMPUTER CIRCUITS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; OPTIMIZATION; TRAFFIC SIGNALS;

GENETIC ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78650017222     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16773-7_41     Document Type: Conference Paper

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