Golden jackal optimization: A novel nature-inspired optimizer for engineering applications

By Nitish Chopra, Muhammad Mohsin Ansari. Expert systems with applications, 2022

780 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/ac87ecd6e15651669a1309868e376cef8c0b04bf

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. Kusum Deep
2. Swagatam Das
3. Kanchan Rajwar
4. Ponnuthurai Nagaratnam Suganthan
5. Pinar Çivicioglu

In Computational Theory and Mathematics

1. Kusum Deep
2. Swagatam Das
3. Kanchan Rajwar
4. Ponnuthurai Nagaratnam Suganthan
5. Pinar Çivicioglu

Citations in the corpus

• An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, background): “(2021) 231 Golden Jackal Optimization (GJO) Chopra and Ansari (2022) 232 Golden Search Optimization Algorithm (GSO) Noroozi et al.”