Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

By Laith Mohammad Abualigah, M. A. Elaziz, P. Sumari, Zong Woo Geem, Amir H. Gandomi. Expert systems with applications, 2022

816 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/28c8955de56f297885618361570481d3ae5537c2

How researchers see this paper

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

1. Absalom El-Shamir Ezugwu
2. Olaide Nathaniel Oyelade
3. Laith Mohammad Abualigah
4. Tehnan I. A. Mohamed
5. Jeffrey O. Agushaka
6. Eva Trojovská
7. Ali Diabat

Citations in the corpus

• Zebra Optimization Algorithm: A New Bio-inspired Optimization Algorithm for Solving Optimization Algorithm (2022, unknown): “Reptile Search Algorithm (RSA) [37] 2022”
• Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm (2022, background): “Others are Blue Monkey Optimization (BMO) [30], Arithmetic Optimization Algorithm (AOA) [31]–[33], Aquila Optimizer (AO) [34], Reptile Search Algorithm (RSA) [35], and Sandpiper Optimization Algorithm (SOA) [36].”