A Hybrid Algorithm Framework with Learning and Complementary Fusion Features for Whale Optimization Algorithm
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-18
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
It has been observed that the structure of whale optimization algorithm (WOA) is good at exploiting capability, but it easily suffers from premature convergence.
Hybrid metaheuristics are of the most interesting recent trends for improving the performance of WOA.
In this paper, a hybrid algorithm framework with learning and complementary fusion features for WOA is designed, called hWOAlf.
First, WOA is integrated with complementary feature operators to enhance exploration capability.
Second, the proposed algorithm framework adopts a learning parameter lp according to adaptive adjustment operator to replace the random parameter p.
To further verify the efficiency of the hWOAlf, the DE/rand/1 operator of differential evolution (DE) and the mutate operator of backtracking search optimization algorithm (BSA) are embedded into WOA, respectively, to form two new algorithms called WOA-DE and WOA-BSA under the proposed framework.
Twenty-three benchmark functions and six engineering design problems are employed to test the performance of WOA-DE and WOA-BSA.
Experimental results show that WOA-DE and WOA-BSA are competitive compared with some state-of-the-art algorithms.
American Psychological Association (APA)
Tong, Wangyu. 2020. A Hybrid Algorithm Framework with Learning and Complementary Fusion Features for Whale Optimization Algorithm. Scientific Programming،Vol. 2020, no. 2020, pp.1-25.
https://search.emarefa.net/detail/BIM-1209047
Modern Language Association (MLA)
Tong, Wangyu. A Hybrid Algorithm Framework with Learning and Complementary Fusion Features for Whale Optimization Algorithm. Scientific Programming No. 2020 (2020), pp.1-25.
https://search.emarefa.net/detail/BIM-1209047
American Medical Association (AMA)
Tong, Wangyu. A Hybrid Algorithm Framework with Learning and Complementary Fusion Features for Whale Optimization Algorithm. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-25.
https://search.emarefa.net/detail/BIM-1209047
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209047