Genetic Algorithm with Multi-Parent Crossover Solution for Economic Dispatch with Valve Point Loading Effects

During recent times, different researchers have presented various techniques for different optimization problems. In current literature on genetic algorithms (GAs), a genetic algorithm with multi-parent crossover (GA-MPC) has been found to be more efficient than other hybridized or modified GAs. In this paper, a GA with a new multi-parent crossover has been proposed to get solution economic dispatch (ED). The current algorithm is verified on 3-unit and 5-unit generator systems by considering minimization of fuel cost. The obtained results are proved the effectiveness of the GA-MPC over the other methods mentioned in the paper.

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