A novel hybrid particle swarm optimization and gravitational search algorithm for solving economic emission load dispatch problems with various practical constraints

International Journal of Electrical Power and Energy Systems

Volumn 55, Issue , 2014, Pages 628-644

  Jiang, Shanhe ^a,b   Ji, Zhicheng ^a   Shen, Yanxia ^a  

^a JIANGNAN UNIVERSITY   (China)

^b ANQING NORMAL UNIVERSITY   (China)

Author keywords

Benchmark test functions; Economic emission load dispatch; Gravitational search algorithm; Hybrid evolutionary approach; Particle swarm optimization; Practical constraints

Indexed keywords

BENCHMARK TESTS; ECONOMIC EMISSION LOAD DISPATCHES; EVOLUTIONARY APPROACH; GRAVITATIONAL SEARCH ALGORITHMS; PRACTICAL CONSTRAINTS;

BENCHMARKING; GRAVITATION; HEURISTIC ALGORITHMS; LEARNING ALGORITHMS; TEST FACILITIES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84887294121     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2013.10.006     Document Type: Article

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