Large-scale economic dispatch by seeker optimization algorithm

A B ST R A C T Seeker optimization algorithm (SOA), a novel heuristic population-based search algorithm, is utilized in this paper to solve different economic dispatch (ED) problems of thermal power units. In the SOA, the act of human searching capability and understanding are exploited for the purpose of optimization. In this algorithm, the search direction is based on empirical gradient by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule. The effectiveness of the algorithm as tested on two large-scale test power systems to solve the ED problems. The results obtained by the SOA are compared to the other different algorithms published in the recent literatures to establish its superiority.

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