Environmental/Economic Dispatch using Multiobjective Adaptive Differential Evolution with Hybrid Mutation

Thammarsat Visutarrom, Tsung Che Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The environmental/economic dispatch (EED) problem is one of the topics that received much attention as a result of the increasing concern of global warming. This problem is essentially a constrained multiobjective continuous optimization problem, which aims to minimize the fuel cost and emission level simultaneously. In the literature, multiobjective evolutionary algorithms have shown promising results in solving this problem. Thus, we develop an algorithm based on adaptive differential evolution (DE). We investigate the performance of six popular DE mutation operators and three repair mechanisms using three public problem instances. Based on the experimental results, we decide to hybridize mutation operators and repair mechanisms in our algorithm. The proposed algorithm is able to reduce the fuel cost and emission level well in both single-objective and multiobjective manners.

Original languageEnglish
Title of host publicationProceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728146669
DOIs
Publication statusPublished - 2019 Nov
Event24th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019 - Kaohsiung, Taiwan
Duration: 2019 Nov 212019 Nov 23

Publication series

NameProceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019

Conference

Conference24th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
CountryTaiwan
CityKaohsiung
Period19/11/2119/11/23

    Fingerprint

Keywords

  • adaptive differential evolution
  • economic dispatch
  • emission
  • hybrid mutation
  • repair

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction

Cite this

Visutarrom, T., & Chiang, T. C. (2019). Environmental/Economic Dispatch using Multiobjective Adaptive Differential Evolution with Hybrid Mutation. In Proceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019 [8959924] (Proceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI48200.2019.8959924