An integrated method of particle swarm optimization and differential evolution

Journal of Mechanical Science and Technology

Volumn 23, Issue 2, 2009, Pages 426-434

  Kim, Pyungmo ^a   Lee, Jongsoo ^a  

^a Yonsei University   (South Korea)

Author keywords

Bounce back; Differential evolution; Hybrid method; Particle swarm optimization; Q learning

Indexed keywords

GENETIC ALGORITHMS; INTEGRATED CONTROL; REINFORCEMENT LEARNING; CONTROL SYSTEM ANALYSIS; DESIGN; EDUCATION; HYBRID SENSORS; LEARNING ALGORITHMS; MATHEMATICAL OPERATORS; REINFORCEMENT;

BOUNCE BACK; CROSSOVER AND MUTATION; DIFFERENTIAL EVOLUTION; ENGINEERING OPTIMIZATION PROBLEMS; HYBRID METHOD; MULTI MODAL FUNCTION; Q-LEARNING; REINFORCEMENT LEARNING METHOD; CONTROL PARAMETERS; DESIGN SPACES; HYBRID PSO; INTEGRATED METHOD; NEIGHBORHOOD DESIGN; NEW DESIGN; OPTIMIZATION PROCESS; SEARCH CAPABILITIES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 70349680868     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12206-008-0917-4     Document Type: Article

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