Chaotic whale optimization algorithm

By Gaganpreet Kaur, Sankalap Arora. Journal of Computational Design and Engineering, 2018

516 citations recorded by the source corpus.

Abstract The Whale Optimization Algorithm (WOA) is a recently developed meta-heuristic optimization algorithm which is based on the hunting mechanism of humpback whales. Similarly to other meta-heuristic algorithms, the main problem faced by WOA is slow convergence speed. So to enhance the global convergence speed and to get better performance, this paper introduces chaos theory into WOA optimization process. Various chaotic maps are considered in the proposed chaotic WOA (CWOA) methods for tuning the main parameter of WOA which helps in controlling exploration and exploitation. The proposed CWOA methods are benchmarked on twenty well-known test functions. The results prove that the chaotic maps (especially Tent map) are able to improve the performance of WOA.

Subfields: Artificial Intelligence, Biomedical Engineering, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/a996aab7cf1e80fd54f17c77ade4113aa3437728

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Mahdi Azizi
2. Tansel Dökeroğlu
3. Ahmet Cosar
4. Tayfun Kucukyilmaz
5. Ender Sevinç
6. Siamak Talatahari
7. Ali Kaveh
8. Seyedali Mirjalili

In Biomedical Engineering

1. Ahmet Cosar
2. Tansel Dökeroğlu
3. Tayfun Kucukyilmaz
4. Ender Sevinç
5. Siamak Talatahari

In Computational Theory and Mathematics

1. Mahdi Azizi
2. Ahmet Cosar
3. Tansel Dökeroğlu
4. Tayfun Kucukyilmaz
5. Ender Sevinç
6. Siamak Talatahari
7. Ali Kaveh
8. Seyed Mohammad Mirjalili

Citations in the corpus

• A survey on new generation metaheuristic algorithms (2019, background): “Kaur and Arora (2018) propose chaotic WOA.”
• Chaos Game Optimization: a novel metaheuristic algorithm (2020, background): “2013a), Chaotic Whale Optimization Algorithm (C-WOA) (Kaur and Arora 2018), Chaotic Harmony Search (C-HS) (Alatas 2010), Chaotic Grey Wolf Optimizer (C-GWO) (Yu et  al.”