TY - GEN
T1 - Using Grey Wolf Hunting Mechanism to Improve Brain Storm Optimization
AU - Wang, Shi
AU - Cai, Zonghui
AU - Yu, Yang
AU - Lei, Zhenyu
AU - Gao, Shangce
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Brain storm optimization algorithm (BSO) is recently proposed population based optimization algorithm, which is inspired by the human brainstorming process. It is designed to solve global optimization problems and has a good performance in solving large-scale multidimensional multimodal problems. However, as it largely relies on the cluster center to update the population which makes it hard to exchange information within population, it can be frequently fall into the local optimal and can't get rid of this situation easily. Grey wolf optimization (GWO) algorithm has good abilities of global search and local area avoidance, thus, GWO is studied and combined with BSO to improve its ability of global search and avoid local optimal. The experiment results on CEC'17 benchmark function indicate the feasibility of this combination.
AB - Brain storm optimization algorithm (BSO) is recently proposed population based optimization algorithm, which is inspired by the human brainstorming process. It is designed to solve global optimization problems and has a good performance in solving large-scale multidimensional multimodal problems. However, as it largely relies on the cluster center to update the population which makes it hard to exchange information within population, it can be frequently fall into the local optimal and can't get rid of this situation easily. Grey wolf optimization (GWO) algorithm has good abilities of global search and local area avoidance, thus, GWO is studied and combined with BSO to improve its ability of global search and avoid local optimal. The experiment results on CEC'17 benchmark function indicate the feasibility of this combination.
KW - Brain storm optimization algorithm
KW - brainstorming process
KW - grey wolf optimization
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85062061718&partnerID=8YFLogxK
U2 - 10.1109/ICISCE.2018.00130
DO - 10.1109/ICISCE.2018.00130
M3 - 会議への寄与
AN - SCOPUS:85062061718
T3 - Proceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018
SP - 602
EP - 606
BT - Proceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018
A2 - Li, Shaozi
A2 - Dai, Ying
A2 - Cheng, Yun
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Information Science and Control Engineering, ICISCE 2018
Y2 - 20 July 2018 through 22 July 2018
ER -