论文信息 - Multi-objective Optimization for Economic Emission Dispatch Using an Improved Multi-objective Binary Differential Evolution Algorithm☆

Multi-objective Optimization for Economic Emission Dispatch Using an Improved Multi-objective Binary Differential Evolution Algorithm☆

Abstract 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.

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