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

Yijuan Di, Minrui Fei, Ling Wang, Wei Wu

Research output: Contribution to journalConference articlepeer-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 languageEnglish
Pages (from-to)2016-2021
Number of pages6
JournalEnergy Procedia
Volume61
DOIs
Publication statusPublished - 2014 Jan 1
Event6th International Conference on Applied Energy, ICAE 2014 - Taipei, Taiwan
Duration: 2014 May 302014 Jun 2

All Science Journal Classification (ASJC) codes

  • Energy(all)

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