TY - GEN
T1 - Environmental/Economic Dispatch using Multiobjective Adaptive Differential Evolution with Hybrid Mutation
AU - Visutarrom, Thammarsat
AU - Chiang, Tsung Che
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
KW - adaptive differential evolution
KW - economic dispatch
KW - emission
KW - hybrid mutation
KW - repair
UR - http://www.scopus.com/inward/record.url?scp=85079042299&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079042299&partnerID=8YFLogxK
U2 - 10.1109/TAAI48200.2019.8959924
DO - 10.1109/TAAI48200.2019.8959924
M3 - Conference contribution
AN - SCOPUS:85079042299
T3 - Proceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
BT - Proceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
Y2 - 21 November 2019 through 23 November 2019
ER -