Parallel particle swarm optimization with modified stochastic acceleration factors for solving large scale economic dispatch problem

International Journal of Electrical Power and Energy Systems

Volumn 32, Issue 9, 2010, Pages 1014-1023

  Subbaraj, P ^a,c   Rengaraj, R ^b   Salivahanan, S ^b   Senthilkumar, T R ^b  

^a KALASALINGAM UNIVERSITY   (India)

^b SSN COLLEGE OF ENGINEERING   (India)

^c Theni Kammavar Sangam College of Technology   (India)

Author keywords

Cognitive and social learning; Manager; Parallel computing; Stochastic acceleration factors; Workers

Indexed keywords

COGNITIVE AND SOCIAL LEARNING; CONSTRAINT HANDLING SCHEME; ERROR METRICES; KARUSH-KUHN-TUCKER CONDITION; LOCAL SEARCH; MULTI-MODALITY; OPTIMAL SOLUTIONS; OPTIMALITY; PARALLEL COMPUTING; PARALLEL PARTICLE SWARM OPTIMIZATION; PARALLEL-COMPUTING ENVIRONMENT; PARTICLE SWARM OPTIMIZATION ALGORITHM; PENALTY PARAMETERS; POWER BALANCE; PREMATURE CONVERGENCE; PROHIBITED OPERATING ZONE; PROPOSED ARCHITECTURES; RAMP RATE LIMITS; SCALE ECONOMICS; SOCIAL LEARNING; SPEED-UPS; STOCHASTIC ACCELERATION; TERMINATION CRITERIA; TRANSMISSION LOSS;

ACCELERATION MEASUREMENT; ELECTRON CYCLOTRON RESONANCE; LEARNING ALGORITHMS; MANAGEMENT; MANAGERS; OPTIMAL SYSTEMS; PARALLEL ALGORITHMS; PARALLEL ARCHITECTURES; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); STOCHASTIC SYSTEMS;

CONVERGENCE OF NUMERICAL METHODS;

EID: 77955471921     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2010.02.003     Document Type: Article

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