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Improved real coded genetic algorithm for dynamic economic dispatch

机译:改进的实编码遗传算法用于动态经济调度

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This paper develops and recommends improved real coded genetic algorithm (IRCGA) for dynamic economic dispatch problem. Genetic algorithm (GA) is a bunch of evolutionary algorithms root of the human heritable chromosome operation and has the ability to ascertain the global optimal solutions. In this paper, IRCGA has been suggested to heighten convergence speed and solution quality. The efficacy of the suggested technique has been confirmed on two test systems and 15 benchmark functions. Results of two test systems and 15 benchmark functions acquired from the developed IRCGA have been matched up to those achieved by real coded genetic algorithm (RCGA). It has been observed from the comparison that the suggested IRCGA technique has the ability to endow with superior solution.
机译:针对动态经济调度问题,本文提出并提出了改进的实编码遗传算法(IRCGA)。遗传算法(GA)是人类可遗传染色体操作的一堆进化算法,具有确定全局最优解的能力。在本文中,建议使用IRCGA来提高收敛速度和解决方案质量。建议的技术的有效性已在两个测试系统和15个基准功能上得到证实。从已开发的IRCGA获得的两个测试系统和15个基准功能的结果已与实际编码遗传算法(RCGA)获得的结果相匹配。从比较中可以看出,建议的IRCGA技术具有出色的解决方案能力。

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