TY - GEN
T1 - An Adaptive Multiobjective Evolutionary Algorithm for Economic Emission Dispatch
AU - Chiang, Tsung Che
AU - Visutarrom, Thammarsat
AU - Kulturel-Konak, Sadan
AU - Konak, Abdullah
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper addresses the economic emission dispatch (EED) problem where the goal is to allocate the power output of power generation units to satisfy power demand and minimize the cost and emissions simultaneously. We propose a multiobjective differential evolution algorithm and a reinforcement learning technique to adaptively control the parameters of differential evolution. Moreover, the proposed approach utilizes mating restriction and preferences in mating selection to improve search effectiveness and a dynamically controlled mutation to increase the exploration ability. The proposed ideas and algorithm were examined using four EED test cases. Experimental results showed positive effects of our proposed methods and the competitive performance of our algorithm.
AB - This paper addresses the economic emission dispatch (EED) problem where the goal is to allocate the power output of power generation units to satisfy power demand and minimize the cost and emissions simultaneously. We propose a multiobjective differential evolution algorithm and a reinforcement learning technique to adaptively control the parameters of differential evolution. Moreover, the proposed approach utilizes mating restriction and preferences in mating selection to improve search effectiveness and a dynamically controlled mutation to increase the exploration ability. The proposed ideas and algorithm were examined using four EED test cases. Experimental results showed positive effects of our proposed methods and the competitive performance of our algorithm.
KW - adaptive control
KW - economic dispatch
KW - emission
KW - evolutionary algorithm
KW - multiobjective
KW - parameter control
KW - reinforcement learning
UR - http://www.scopus.com/inward/record.url?scp=85138749783&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85138749783&partnerID=8YFLogxK
U2 - 10.1109/CEC55065.2022.9870330
DO - 10.1109/CEC55065.2022.9870330
M3 - Conference contribution
AN - SCOPUS:85138749783
T3 - 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings
BT - 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Congress on Evolutionary Computation, CEC 2022
Y2 - 18 July 2022 through 23 July 2022
ER -