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Multi-objective optimization for economic emission dispatch using an improved multi-objective binary differential evolution algorithm

机译:使用改进的多目标二进制差分演化算法进行经济排放派遣的多目标优化

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Economic emission dispatch (EED) problem is a non-linear constrained multi-objective optimization problem with two competing and conflicting objectives. In this paper, an improved multi-objective binary differential evolution (IMBDE) algorithm is proposed to solve the EED problem. In the proposed algorithm, a marginal analysis correction operator is presented to handle various system constraints. The simulation results demonstrate that the proposed algorithm is valid in solving the EED problem and its performance is superior to other approaches.
机译:经济排放派遣(EED)问题是一个非线性受限的多目标优化问题,具有两个竞争和矛盾的目标。本文提出了一种改进的多目标二元差分演化(IMBDE)算法来解决EED问题。在所提出的算法中,提出了一种边缘分析校正运算符以处理各种系统约束。仿真结果表明,该算法在解决EED问题时是有效的,其性能优于其他方法。

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