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

机译:具有阀点载荷效应的经济派遣多父交叉解决方案的遗传算法

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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.
机译:在近期,不同的研究人员介绍了各种技术以进行不同的优化问题。 在目前关于遗传算法(气体)的文献中,已经发现具有多亲父交叉(GA-MPC)的遗传算法比其他杂交或改性气体更有效。 在本文中,已经提出了具有新的多父交叉的GA来获得解决方案经济派遣(ED)。 通过考虑最小化燃料成本,在3单元和5单元发生器系统上验证了当前算法。 将得到的结果证明了GA-MPC对纸张中提到的其他方法的有效性。

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