Optimization of network planning by the novel hybrid algorithms of intelligent optimization techniques

Energy

Volumn 34, Issue 10, 2009, Pages 1539-1551

  Sadegheih, A ^a  

^a YAZD UNIVERSITY   (Iran)

Author keywords

Evolutionary computation techniques; Genetic algorithm; Heuristic techniques; Hybrid algorithms; Mathematical programming; Simulated annealing; System planning; Tabu search

Indexed keywords

ANNEALING; CIRCUIT THEORY; COST FUNCTIONS; COSTS; ELECTRIC LOADS; GENETIC ALGORITHMS; HEURISTIC ALGORITHMS; HEURISTIC METHODS; INVESTMENTS; MATHEMATICAL PROGRAMMING; TABU SEARCH; TELEVISION EQUIPMENT;

CAPITAL INVESTMENT; COMPUTATION TIME; CONSTRAINT EQUATION; DC LOAD FLOW; DISCRETE FORM; EVOLUTIONARY COMPUTATION TECHNIQUES; HEURISTIC TECHNIQUES; HYBRID ALGORITHMS; HYBRID OPTIMIZATION ALGORITHM; IN-NETWORK; INTELLIGENT OPTIMIZATION TECHNIQUE; ITERATIVE PROCESS; KIRCHHOFF; METAHEURISTIC; NETWORK PLANNING; OPTIMIZATION OF NETWORK; OPTIMIZATION PROBLEMS; OPTIMIZATION TASK; OPTIMIZATION TOOLS; SECOND LAW; SYSTEM PLANNING; TRANSMISSION LOSS;

SIMULATED ANNEALING;

COST-BENEFIT ANALYSIS; GENETIC ALGORITHM; HEURISTICS; INVESTMENT; KIRCHHOFF EQUATION; MATHEMATICAL ANALYSIS; OPTIMIZATION; TRANSMISSION LOSS;

EID: 69349085311     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2009.06.047     Document Type: Article

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