A new hybrid evolutionary algorithm based on new fuzzy adaptive PSO and NM algorithms for Distribution Feeder Reconfiguration

Energy Conversion and Management

Volumn 54, Issue 1, 2012, Pages 7-16

  Niknam, Taher ^a   Azadfarsani, Ehsan ^b   Jabbari, Masoud ^c  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Distribution Feeder Reconfiguration (DFR); Fuzzy Adaptive Binary Particle Swarm Optimization (FABPSO); Fuzzy Adaptive Discrete Particle Swarm Optimization (FADPSO); Nelder Mead (NM); New Fuzzy Adaptive Particle Swarm Optimization (NFAPSO)

Indexed keywords

BINARY PARTICLE SWARM OPTIMIZATION; BINARY PSO; DISCRETE PARTICLE SWARM OPTIMIZATION; DISTRIBUTION FEEDER RECONFIGURATIONS; DISTRIBUTION SYSTEMS; ELECTRICAL ENERGY; FUZZY ADAPTIVE; HYBRID EVOLUTIONARY ALGORITHM; INERTIA WEIGHT; LEARNING FACTOR; LOSS REDUCTION; NELDER-MEAD (NM); NELDER-MEAD SIMPLEX SEARCH METHOD; NETWORK RE-CONFIGURATION; NEW FUZZY ADAPTIVE PARTICLE SWARM OPTIMIZATION (NFAPSO); SEARCH PROCESS; SECTIONALIZING SWITCH; TEST FEEDERS; TIE SWITCH;

CURRENT LIMITING REACTORS; FEEDING; GLOBAL OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHMS;

EID: 80155141323     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2011.09.014     Document Type: Article

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