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

Yijuan Di; Minrui Fei; Ling Wang; Wei Wu

doi:10.1016/j.egypro.2014.12.065

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

Yijuan Di, Minrui Fei, Ling Wang, Wei Wu

Department of Chemical Engineering

Research output: Contribution to journal › Conference article › peer-review

17 Citations (Scopus)

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	https://doi.org/10.1016/j.egypro.2014.12.065
Publication status	Published - 2014 Jan 1
Event	6th International Conference on Applied Energy, ICAE 2014 - Taipei, Taiwan Duration: 2014 May 30 → 2014 Jun 2

All Science Journal Classification (ASJC) codes

Energy(all)

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10.1016/j.egypro.2014.12.065

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Cite this

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title = "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.",

author = "Yijuan Di and Minrui Fei and Ling Wang and Wei Wu",

year = "2014",

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doi = "10.1016/j.egypro.2014.12.065",

language = "English",

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pages = "2016--2021",

journal = "Energy Procedia",

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note = "6th International Conference on Applied Energy, ICAE 2014 ; Conference date: 30-05-2014 Through 02-06-2014",

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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.

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EP - 2021

JO - Energy Procedia

JF - Energy Procedia

SN - 1876-6102

T2 - 6th International Conference on Applied Energy, ICAE 2014

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