Chaos Game Optimization: a novel metaheuristic algorithm

By Siamak Talatahari, Mahdi Azizi. Artificial Intelligence Review, 2020

300 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/40f531f82d7ab9e3f71e203644b3d500115a4993

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. Seyedali Mirjalili
2. Amir H. Gandomi
3. Mahdi Azizi
4. Siamak Talatahari
5. Nima Khodadadi
6. Mohammad Hussein Amiri
7. Nastaran Mehrabi Hashjin
8. Mohsen Montazeri

Citations in the corpus

• Fire Hawk Optimizer: a novel metaheuristic algorithm (2022, background): “2017), Chaos Game Optimization (CGO) algorithm (Talatahari and Azizi 2020b, 2021a), Crystal Structure Algorithm (Talatahari et al.”
• Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm (2024, methodology): “For example, Arithmetic Optimization Algorithm (AOA) 125 ,the Chaos Game Optimization (CGO) 126 is inspired by chaos theory and fractal configuration principles.”