Title
A New Hybrid Global Optimization Algorithm
Abstract
Focusing on the disadvantages of gravitation search algorithm (GSA) and artificial bee colony (ABC), such as low convergence precision, slow convergence, and this paper proposed a new hybrid optimization algorithm NHA based on GSA and ABC. NHA balance exploitation and exploration. Numerical experiments show that NHA has good results in high dimensions.
Year
DOI
Venue
2018
10.1109/CIS2018.2018.00087
2018 14th International Conference on Computational Intelligence and Security (CIS)
Keywords
Field
DocType
gravitation search algorithm, artificial bee colony, hybrid optimization algorithm
Convergence (routing),Mathematical optimization,Search algorithm,Global optimization algorithm,Computer science,Optimization algorithm
Conference
ISBN
Citations 
PageRank 
978-1-7281-0170-5
0
0.34
References 
Authors
6
1
Name
Order
Citations
PageRank
Ding Wang173.19