Paper Info
Title
Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications.
Abstract
•A new Metaheuristic named spotted hyena optimization algorithm inspired by hyenas is proposed.•The SHO algorithm is tested on 29 well-known benchmark test functions.•The exploitation property of SHO is confirmed by the results obtained on unimodal benchmark test functions.•The exploration capability of SHO is validated by the results obtained on multimodal benchmark test functions.•The results on five constrained engineering problems prove the applicability of SHO in real-life applications.
Year
DOI
Venue
2017
10.1016/j.advengsoft.2017.05.014
Advances in Engineering Software
Keywords
Field
DocType
Optimization,Optimization techniques,Metaheuristics,Constrained optimization,Unconstrained optimization,Benchmark test functions
Convergence (routing),Social relationship,Mathematical optimization,Hyena,Parallel metaheuristic,Computer science,Theoretical computer science,Artificial intelligence,Engineering design process,Constrained optimization,Computational complexity theory,Metaheuristic
Journal
Volume
ISSN
Citations 
114
0965-9978
29
PageRank 
References 
Authors
0.79
36
2
Name
Order
Citations
PageRank
Gaurav Dhiman163632.82
Vijay Kumar222921.59