scholarly journals An Improved Beetle Antennae Search Algorithm Based on the Elite Selection Mechanism and the Neighbor Mobility Strategy for Global Optimization Problems

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 137524-137542
Author(s):  
Xuan Shao ◽  
Yuqi Fan
2019 ◽  
Vol 85 ◽  
pp. 105583 ◽  
Author(s):  
Hoda Zamani ◽  
Mohammad H. Nadimi-Shahraki ◽  
Amir H. Gandomi

2019 ◽  
Vol 79 ◽  
pp. 14-29 ◽  
Author(s):  
Ricardo García-Ródenas ◽  
Luis Jiménez Linares ◽  
Julio Alberto López-Gómez

2019 ◽  
Vol 77 ◽  
pp. 567-583 ◽  
Author(s):  
Khoa H. Truong ◽  
Perumal Nallagownden ◽  
Zuhairi Baharudin ◽  
Dieu N. Vo

2014 ◽  
Vol 1065-1069 ◽  
pp. 3438-3441
Author(s):  
Guo Jun Li

Harmony search (HS) algorithm is a new population based algorithm, which imitates the phenomenon of musical improvisation process. Its own potential and shortage, one shortage is that it easily trapped into local optima. In this paper, a hybrid harmony search algorithm (HHS) is proposed based on the conception of swarm intelligence. HHS employed a local search method to replace the pitch adjusting operation, and designed an elitist preservation strategy to modify the selection operation. Experiment results demonstrated that the proposed method performs much better than the HS and its improved algorithms (IHS, GHS and NGHS).


2021 ◽  
Author(s):  
Himanshu Verma ◽  
Yogendra Kumar

Cuckoo search algorithm is one the efficient algorithms in solving global optimization problems.


2019 ◽  
Vol 85 ◽  
pp. 105734 ◽  
Author(s):  
Abhishek Kumar ◽  
Rakesh Kumar Misra ◽  
Devender Singh ◽  
Sujeet Mishra ◽  
Swagatam Das

Sign in / Sign up

Export Citation Format

Share Document