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《Journal of Hydroelectric Engineering》 2013-01
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Application of ant colony algorithm to optimal operation of single pump unit at pumping stations

YUAN Yao,LIU Chao(Yangzhou University,Yangzhou 225009,China)  
An ant colony algorithm(ACA) model for optimal operation of pumping unit is proposed considering the similarity of optimal operation of pumping stations to other combination optimal scheduling problems of mature ACA applications,and its solution method of ants searching with the well-established object function and constraints is presented.First,feasible solutions are constructed by iteratively searching of artificial ants after converting the problem of minimum cost seeking into the one of shortest path searching,and then an optimal solution is obtained by the rule of state transition and pheromone updating.Calculation of a practical case and comparison with the dynamic programming and evolutionary solving method in commercial software under the same discrete conditions,shows less computational cost and better results of the present ACA.Thus,it provides a valuable tool for optimal operation of pumping stations and for other related fields.
【Fund】: 国家自然科学基金资助项目(51279173);; 2010年江苏省水利动力工程重点实验室开放课题资助项目(K100019)
【CateGory Index】: TV675;TP301.6
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