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An algorithm based on hybridization of Bacteria Foraging (BF) and Differential Evolution (DE) was developed to solve the problem of finding the optimum load allocation amongst the committed units in a power system with non-convex loads. The performance of the proposed algorithm is evaluated on a test case of 15 units. The performance of the proposed algorithm is compared with BF method. Also, the...
This paper proposes a genetic algorithm (GA) tuned differential evolution (DE) method for solving economic dispatch (ED) problem with non-smooth cost curves. The tuning of the weights in differential evolution is the key issue in designing an efficient differential evolution algorithm. Their values are dependent on nature and characteristic of objective function. As there is no explicit rule or guideline...
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