TY - GEN
T1 - Gravitational Search Algorithm with Hierarchical Structure Guided by Elite Individual
AU - Li, Haotian
AU - Yang, Yifei
AU - Yang, Haichuan
AU - Tang, Zheng
AU - Gao, Shangce
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The Gravitational Search Algorithm (GSA) is a Newtonian gravity-based meta-heuristic algorithm. The algorithm updates population members' locations according to the gravitational pull between them in order to solve the optimization issue. However, in some cases, the convergence of the algorithm is not fast enough. In order to improve the convergence speed of the algorithm while alleviating the problem of easily falling into local optima, we propose a gravitational search algorithm with hierarchical structure (EHGSA) guided by elite individuals. This structure can help the algorithm to have the ability to jump out of the local optimum while improving the convergence speed. The effectiveness of the proposed algorithm EHGSA is validated using the IEEE CEC2017 benchmark function test set of 29 functions.
AB - The Gravitational Search Algorithm (GSA) is a Newtonian gravity-based meta-heuristic algorithm. The algorithm updates population members' locations according to the gravitational pull between them in order to solve the optimization issue. However, in some cases, the convergence of the algorithm is not fast enough. In order to improve the convergence speed of the algorithm while alleviating the problem of easily falling into local optima, we propose a gravitational search algorithm with hierarchical structure (EHGSA) guided by elite individuals. This structure can help the algorithm to have the ability to jump out of the local optimum while improving the convergence speed. The effectiveness of the proposed algorithm EHGSA is validated using the IEEE CEC2017 benchmark function test set of 29 functions.
UR - http://www.scopus.com/inward/record.url?scp=85147851832&partnerID=8YFLogxK
U2 - 10.1109/ISCID56505.2022.00047
DO - 10.1109/ISCID56505.2022.00047
M3 - 会議への寄与
AN - SCOPUS:85147851832
T3 - Proceedings - 2022 15th International Symposium on Computational Intelligence and Design, ISCID 2022
SP - 180
EP - 184
BT - Proceedings - 2022 15th International Symposium on Computational Intelligence and Design, ISCID 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Symposium on Computational Intelligence and Design, ISCID 2022
Y2 - 17 December 2022 through 18 December 2022
ER -