We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Modified Whale Optimization Algorithm and Its Application in Seismic Inversion Problem.
- Authors
Liang, Xiaodan; Xu, Siwen; Liu, Yang; Sun, Liling
- Abstract
The whale optimization algorithm (WOA) is a popular swarm intelligence algorithm which simulates the hunting behavior of humpback whales. WOA has the deficiency of easily falling into the local optimal solutions. In order to overcome the weakness of the WOA, a modified variant of WOA called OCDWOA is proposed. There are four main operators introduced into the OCDWOA to enhance the search performance of WOA. The operators include opposition-based learning method, nonlinear parameter design, density peak clustering strategy, and differential evolution. The proposed algorithm is tested on 19 optimization benchmark functions and a seismic inversion problem. OCDWOA is compared with the classical WOA and three typical variants of WOA. The results demonstrate that OCDWOA outperforms the compared algorithms in terms of obtaining the global optimal solution.
- Subjects
MATHEMATICAL optimization; HUMPBACK whale behavior; SWARM intelligence; DIFFERENTIAL evolution
- Publication
Mobile Information Systems, 2022, p1
- ISSN
1574-017X
- Publication type
Article
- DOI
10.1155/2022/9159130