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An improved chaos optimization algorithm and its application in the economic load dispatch problem

机译:改进的混沌优化算法及其在经济负荷分配中的应用

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This paper reforms the Mutative Scale Chaos Optimization Algorithm (MSCOA). Numerical simulation demonstrates that the efficiency and performance of the algorithm are improved. An analysis of the Improved Mutative Scale Chaos Optimization Algorithm (IMSCOA) is also given. IMSCOA is applied to examples of economic load dispatch, considering both the valve point effect and transmission loss. The results are compared with those computed by other methods, including MSCOA and another effective chaos algorithm-CROA. It is shown that IMSCOA provides more optimal results than the other methods, whether or not the problem is large scale. This demonstrates the efficiency and practicability of IMSCOA in engineering practice.
机译:本文对变异尺度混沌优化算法(MSCOA)进行了改进。数值仿真表明,该算法具有较高的效率和性能。给出了改进的可变尺度混沌优化算法(IMSCOA)的分析。考虑到阀点效应和传输损耗,将IMSCOA应用于经济负荷分配的示例。将结果与通过其他方法(包括MSCOA)和另一种有效的混沌算法CROA计算的结果进行比较。结果表明,无论问题是否大规模,ISMSOA都比其他方法提供了更好的结果。这证明了IMSCOA在工程实践中的效率和实用性。

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