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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...
This paper presents an algorithm based on nondominated sorting differential evolution algorithm (NSDE) for solving optimal economic emission dispatch problems in electric power system. Economic emission load dispatch problems are multiobjective optimization problems and are the right field for testing and application of NSDE algorithm. NSDE is reported to have performed excellently on many bench mark...
This paper investigates the performance of a hybrid algorithm developed by hybridization between particle swarm optimization (PSO) and self-adaptive improved fast evolutionary programming (IFEP) techniques for solving economic load dispatch (ELD) problem with non-smooth cost curves where conventional gradient based methods are inapplicable. The reported excellent performance of both IFEP and PSO techniques...
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