TY - JOUR
T1 - Multi-objective optimization for economic emission dispatch using an improved multi-objective binary differential evolution algorithm
AU - Di, Yijuan
AU - Fei, Minrui
AU - Wang, Ling
AU - Wu, Wei
N1 - Publisher Copyright:
© 2014 The Authors.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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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U2 - 10.1016/j.egypro.2014.12.065
DO - 10.1016/j.egypro.2014.12.065
M3 - Conference article
AN - SCOPUS:84922349296
SN - 1876-6102
VL - 61
SP - 2016
EP - 2021
JO - Energy Procedia
JF - Energy Procedia
T2 - 6th International Conference on Applied Energy, ICAE 2014
Y2 - 30 May 2014 through 2 June 2014
ER -