An application of tabu search to economic dispatch problem
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In this paper, the tabu search method is applied to economic dispatch problem. The proposed method has achieved efficient and accurate solutions for power systems with 3 and 6 units. The results of the proposed method are compared with those of an improved Hopfield neural network approach (IHN) , a fuzzy logic controlled genetic algorithm (FLCGA) , an advance engineered-conditioning genetic approach (AECGA)  and an advance Hopfield neural network approach (AHNN) . The results show that the proposed method is capable of being applied efficiently to the economic dispatch problem.
SourceProceedings of the Universities Power Engineering Conference
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