Paper Info
Title
An astrophysics-inspired Grey wolf algorithm for numerical optimization and its application to engineering design problems.
Abstract
•Three novel strategies are proposed which utilize the concepts of astrophysics and prey weight.•The proposed strategies have been tested on thirteen standard benchmark test functions and compared with existing techniques.•The proposed strategies provide better results than the other techniques for noisy and scalable environment.•The effect of control parameter has also been investigated on the proposed strategies.•The proposed strategies have been evaluated on seven well-known constrained engineering design problems.
Year
DOI
Venue
2017
10.1016/j.advengsoft.2017.05.008
Advances in Engineering Software
Keywords
Field
DocType
Meta-heuristics,Grey wolf optimizer,Astrophysics concept,Function optimization,Constrained design problems
Convergence (routing),Astrophysics,Mathematical optimization,Computer science,Algorithm,Exploit,Artificial intelligence,Engineering design process,Optimization problem,Statistical hypothesis testing,Gray (horse),Scalability
Journal
Volume
ISSN
Citations 
112
0965-9978
7
PageRank 
References 
Authors
0.39
8
2
Name
Order
Citations
PageRank
Vijay Kumar122921.59
D. V. Kumar293.47