@inproceedings{f4799cfc146347509a63b67a04a705d7,
title = "Dynamic economic emission dispatch through evolutionary multiobjective optimization: An experimental study",
abstract = "This paper addresses the dynamic economic emission dispatch (DEED) problem, which needs to allocate power output of generation units in a power system to satisfy power demand over consecutive time periods and minimize cost and emissions simultaneously. We propose a multiobjective evolutionary algorithm to solve the DEED problem. We investigate the effects of the algorithm components including the repair mechanism, selection mechanism, dynamic resource allocation, and dynamic mutation through comprehensive experiments on six test cases. We also compare our algorithm with 15 existing algorithms, and our algorithm shows competitive performance.",
keywords = "constraint handling, economic dispatch, emissions, evolutionary algorithm, multiobjective",
author = "Ko, \{Hsuan Jen\} and Thammarsat Visutarrom and Chiang, \{Tsung Che\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022 ; Conference date: 04-12-2022 Through 07-12-2022",
year = "2022",
doi = "10.1109/SSCI51031.2022.10022187",
language = "English",
series = "Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "750--759",
editor = "Hisao Ishibuchi and Chee-Keong Kwoh and Ah-Hwee Tan and Dipti Srinivasan and Chunyan Miao and Anupam Trivedi and Keeley Crockett",
booktitle = "Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022",
}