An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective Distribution Feeder Reconfiguration

Energy Conversion and Management

Volumn 50, Issue 8, 2009, Pages 2074-2082

  Niknam, Taher ^a  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Discrete Particle Swarm Optimization (DPSO); Distribution Feeder Reconfiguration (DFR); Honey Bee Mating Optimization (HBMO)

Indexed keywords

CONVENTIONAL APPROACH; DIFFERENT DISTRIBUTIONS; DISCRETE PARTICLE SWARM OPTIMIZATION; DISCRETE PARTICLE SWARM OPTIMIZATION (DPSO); DISTRIBUTION FEEDER RECONFIGURATION (DFR); DISTRIBUTION FEEDERS; HONEY BEE MATING OPTIMIZATION (HBMO); HONEY-BEE MATING OPTIMIZATION; HYBRID EVOLUTIONARY ALGORITHM; MULTI OBJECTIVE; NEW APPROACHES; NON-DIFFERENTIABLE OPTIMIZATION; OBJECTIVE FUNCTIONS; REAL POWER LOSS; SINGLE OBJECTIVE; SWITCHING OPERATIONS; TEST SYSTEMS;

ALGORITHMS; CURRENT LIMITING REACTORS; FEEDING; MULTIOBJECTIVE OPTIMIZATION; PROBLEM SOLVING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67349098007     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2009.03.029     Document Type: Article

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