Title
A Novel Surrogate-guided Jaya Algorithm for the Continuous Numerical Optimization Problems
Abstract
A new metaheuristic algorithm, named surrogate-guided algorithm(S-Jaya), is proposed to solve the single objective continuous optimization problems in this paper. A novel mutation strategy for the non-separable single objective continuous optimization problems is introduced to alter the search engine of the Jaya algorithm. The surrogate is embedded to accelerate the convergence of the population a...
Year
DOI
Venue
2021
10.1109/CSCWD49262.2021.9437832
2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Keywords
DocType
ISBN
Conferences,Sociology,Search engines,Benchmark testing,Collaborative work,Statistics,Optimization
Conference
978-1-7281-6597-4
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Fuqing Zhao112922.63
Ru Ma200.68
Jianxin Tang3173.56
Yi Zhang400.34
Weimin Ma542726.76