TY - GEN
T1 - Incorporation of Improved Differential Evolution into Hunger Games Search Algorithm
AU - Li, Sheng
AU - Li, Jiayi
AU - Yi, Junyan
AU - Yu, Hang
AU - Wang, Shi
AU - Gao, Shangce
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8
Y1 - 2021/8
N2 - Hunger games search (HGS) is a recently proposed meta-heuristic algorithm based on hunger-driven activities and animal behavior choices, and it has been proven to possess global exploration ability and can solve both constrained and unconstrained problems effectively. Differential evolution (DE) algorithm is a heuristic random search algorithm based on the evolution differences among different individuals, and it can exploit local regions within a neighborhood of an individual. To fully utilize characteristics of both algorithms, this paper for the first time proposes a hybrid algorithm based on HGS and DE. Furthermore, DE is also enhanced by a new ranking-based mechanism to generate more promising solutions. Experimental results on IEEE CEC2017 benchmark functions indicate the effectiveness of the hybrid algorithm, namely DEHGS, in comparison with some other state-of-The-Art algorithms.
AB - Hunger games search (HGS) is a recently proposed meta-heuristic algorithm based on hunger-driven activities and animal behavior choices, and it has been proven to possess global exploration ability and can solve both constrained and unconstrained problems effectively. Differential evolution (DE) algorithm is a heuristic random search algorithm based on the evolution differences among different individuals, and it can exploit local regions within a neighborhood of an individual. To fully utilize characteristics of both algorithms, this paper for the first time proposes a hybrid algorithm based on HGS and DE. Furthermore, DE is also enhanced by a new ranking-based mechanism to generate more promising solutions. Experimental results on IEEE CEC2017 benchmark functions indicate the effectiveness of the hybrid algorithm, namely DEHGS, in comparison with some other state-of-The-Art algorithms.
KW - Computational intelligence
KW - Differential evolution
KW - Hunger Games Search
KW - Meta-heuristics
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85117595841&partnerID=8YFLogxK
U2 - 10.1109/IHMSC52134.2021.00017
DO - 10.1109/IHMSC52134.2021.00017
M3 - 会議への寄与
AN - SCOPUS:85117595841
T3 - Proceedings - 2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2021
SP - 39
EP - 43
BT - Proceedings - 2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2021
Y2 - 21 August 2021 through 22 August 2021
ER -