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.
| Original language | English |
|---|---|
| Pages (from-to) | 2016-2021 |
| Number of pages | 6 |
| Journal | Energy Procedia |
| Volume | 61 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Event | 6th International Conference on Applied Energy, ICAE 2014 - Taipei, Taiwan Duration: 2014 May 30 → 2014 Jun 2 |
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All Science Journal Classification (ASJC) codes
- Energy(all)
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Multi-objective optimization for economic emission dispatch using an improved multi-objective binary differential evolution algorithm. / Di, Yijuan; Fei, Minrui; Wang, Ling; Wu, Wei.
In: Energy Procedia, Vol. 61, 01.01.2014, p. 2016-2021.Research output: Contribution to journal › Conference article
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
PY - 2014/1/1
Y1 - 2014/1/1
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.
UR - http://www.scopus.com/inward/record.url?scp=84922349296&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84922349296&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2014.12.065
DO - 10.1016/j.egypro.2014.12.065
M3 - Conference article
AN - SCOPUS:84922349296
VL - 61
SP - 2016
EP - 2021
JO - Energy Procedia
JF - Energy Procedia
SN - 1876-6102
ER -