TY - GEN
T1 - A Lottery-based Spherical Evolution Algorithm with Elite Retention Strategy
AU - Li, Jiayi
AU - Zhang, Zihang
AU - Lei, Zhenyu
AU - Yi, Junyan
AU - Gao, Shangce
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Spherical evolution (SE) is a recently proposed meta-heuristic algorithm. Its special search approach has been proved to be very effective in exploring the search space. SE is very powerful for optimization, but still has room for improvement due to some promising solutions usually fail to survive into the next generation. To alleviate this issue, we innovatively design a novel lottery-based elite retention strategy and propose a lottery elite spherical evolution algorithm (LESE). To verify the effectiveness of the proposed LESE, we experimentally compare it with the original SE algorithm and other representative meta-heuristics algorithms. We use 30 benchmark functions from the IEEE CEC2017 benchmark as the test set for our experiments. The effectiveness of LESE is demonstrated by analyzing the experimental results from perspectives of solution accuracy, convergence speed, solution distribution, and search dynamics.
AB - Spherical evolution (SE) is a recently proposed meta-heuristic algorithm. Its special search approach has been proved to be very effective in exploring the search space. SE is very powerful for optimization, but still has room for improvement due to some promising solutions usually fail to survive into the next generation. To alleviate this issue, we innovatively design a novel lottery-based elite retention strategy and propose a lottery elite spherical evolution algorithm (LESE). To verify the effectiveness of the proposed LESE, we experimentally compare it with the original SE algorithm and other representative meta-heuristics algorithms. We use 30 benchmark functions from the IEEE CEC2017 benchmark as the test set for our experiments. The effectiveness of LESE is demonstrated by analyzing the experimental results from perspectives of solution accuracy, convergence speed, solution distribution, and search dynamics.
KW - Computational intelligence
KW - Lottery elite
KW - Population update
KW - Spherical evolution
UR - http://www.scopus.com/inward/record.url?scp=85141124409&partnerID=8YFLogxK
U2 - 10.1109/IHMSC55436.2022.00034
DO - 10.1109/IHMSC55436.2022.00034
M3 - 会議への寄与
AN - SCOPUS:85141124409
T3 - Proceedings - 2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2022
SP - 109
EP - 113
BT - Proceedings - 2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2022
Y2 - 20 August 2022 through 21 August 2022
ER -