TY - GEN
T1 - An Improved Firefly Algorithm Enhanced by Negatively Correlated Search Mechanism
AU - Wang, Shi
AU - Yang, Xiao
AU - Cai, Zonghui
AU - Zou, Lin
AU - Gao, Shangce
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Firefly algorithm (FA) is inspired by natural phenomena and it is an effective optimizer for solving complex problems. However alike other swarm intelligent algorithms, FA also suffers from the premature convergence problem. To further improve the search effectiveness and alleviate this issue, the hybridization of different algorithms has shown to be a promising research direction. In this paper, we for the first time propose a hybrid algorithm, called NCFA by combing the firefly algorithm with the negatively correlated search. The characteristics of firefly algorithm make population diversity decline rapidly, which is more likely to lead to premature convergence. The core of the negatively correlated (NC) search is considered to be a special diversity control strategy. Experimental results based on CEC2017 benchmark functions demonstrate the superiority of such hybridization, and the diversity analysis of population also verify its rationality.
AB - Firefly algorithm (FA) is inspired by natural phenomena and it is an effective optimizer for solving complex problems. However alike other swarm intelligent algorithms, FA also suffers from the premature convergence problem. To further improve the search effectiveness and alleviate this issue, the hybridization of different algorithms has shown to be a promising research direction. In this paper, we for the first time propose a hybrid algorithm, called NCFA by combing the firefly algorithm with the negatively correlated search. The characteristics of firefly algorithm make population diversity decline rapidly, which is more likely to lead to premature convergence. The core of the negatively correlated (NC) search is considered to be a special diversity control strategy. Experimental results based on CEC2017 benchmark functions demonstrate the superiority of such hybridization, and the diversity analysis of population also verify its rationality.
KW - Computational intelligence
KW - Firefly algorithm
KW - Hybridization
KW - Negatively correlated search
UR - http://www.scopus.com/inward/record.url?scp=85065922150&partnerID=8YFLogxK
U2 - 10.1109/PIC.2018.8706281
DO - 10.1109/PIC.2018.8706281
M3 - 会議への寄与
AN - SCOPUS:85065922150
T3 - Proceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018
SP - 67
EP - 72
BT - Proceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Progress in Informatics and Computing, PIC 2018
Y2 - 14 December 2018 through 16 December 2018
ER -