TY - GEN
T1 - Promising Area Exploration Based on Hybrid Niching
T2 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
AU - Huang, Jing Ting
AU - Chiang, Tsung Che
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Multimodal optimization aims to find multiple optimal or near-optimal solutions in solving a single-objective optimization problem. In this paper we propose a metaheuristic framework, which utilizes several niching methods including speciation, crowding, and clearing to keep population diversity and search multiple areas in the solution space in parallel. It also uses an archive to store inferior solutions to refresh the population to explore promising areas. The performance of the proposed framework is verified by comparing it with four existing algorithms using the CEC2013 benchmark. The results confirm the positive effects of the proposed ideas and show that our framework provides competitive search ability.
AB - Multimodal optimization aims to find multiple optimal or near-optimal solutions in solving a single-objective optimization problem. In this paper we propose a metaheuristic framework, which utilizes several niching methods including speciation, crowding, and clearing to keep population diversity and search multiple areas in the solution space in parallel. It also uses an archive to store inferior solutions to refresh the population to explore promising areas. The performance of the proposed framework is verified by comparing it with four existing algorithms using the CEC2013 benchmark. The results confirm the positive effects of the proposed ideas and show that our framework provides competitive search ability.
KW - differential evolution
KW - multimodal optimization
KW - niching
UR - http://www.scopus.com/inward/record.url?scp=85186092069&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85186092069&partnerID=8YFLogxK
U2 - 10.1109/IEEM58616.2023.10406801
DO - 10.1109/IEEM58616.2023.10406801
M3 - Conference contribution
AN - SCOPUS:85186092069
T3 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
SP - 712
EP - 716
BT - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 December 2023 through 21 December 2023
ER -