Abstract
The Whale optimization Algorithm (WOA) is a recently introduced metaheuristic that has shown a promising performance in solving optimization problems. To further improve the search performance of WOA, the Chaotic Local Search (CLS) mechanism is incorporated into WOA. Ten different chaotic maps are investigated to give insights into the influence of CLS in the WOA. The goal is to compare the performance of the Whale optimization Algorithm with Chaotic Local Search (WOACLS) with the standard WOA and the Chaotic WOA (CWOA) by applying them to twenty well-known benchmark functions. Results show that the performance of WOACLS depends on both, the characteristics of the embedded chaotic map and the properties of the search landscape of the optimization problems considered.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
