Application of multi-strategy artificial bee colony algorithm on optimal operation of cascade hydropower stations
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Abstract:
To accurately and quickly solve the optimal operation problem of cascade hydro-power stations is a challenge in the field of water conservancy.A new multi-strategy artificial bee colony algorithm was proposed in this study.In order to better balance the global search and local search capabilities of the algorithms,two representative solution search strategies were used in this new algorithm,and they were combined to form a new search strategy while retaining the original two solution search strategies.Therefore,the new algorithm contained three candidate solution search strategies in the process of searching new solutions,which was convenient to strengthen the adaptability to various optimization problems.The adaptability and feasibility of the new algorithm were tested in the classic benchmark function and applied to the optimal operation of cascade hydro-power stations.Experimental results showed that the new algorithm had the advantages of stronger adaptability and faster convergence speed.
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