Modified cuckoo search: A new gradient free optimisation algorithm

By Simon J. Walton, Oubay Hassan, Kenneth Morgan, M. R. Brown. 2011

571 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/5771acdd3b9520febb4dd0af12d08cf5e453e6ec

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. Hamid Salimi
2. M. N. Ab Wahab
3. Samia Nefti-Meziani
4. Adham Atyabi
5. Mahdi Azizi
6. Siamak Talatahari

In Computational Theory and Mathematics

1. Hamid Salimi
2. M. N. Ab Wahab
3. Samia Nefti-Meziani
4. Adham Atyabi
5. Mahdi Azizi
6. Siamak Talatahari

Citations in the corpus

• A Comprehensive Review of Swarm Optimization Algorithms (2015, background): “have introduced a variant for CSA called Modified Cuckoo Search (MCS) where their main objective is to increase the convergence speed [111].”
• Stochastic Fractal Search: A powerful metaheuristic algorithm (2015, methodology): “To have a fair comparison, our SFS and FS algorithms have been compared with other well-known algorithms such as: PSO [6], MCS [28], GSA [9], CS [2] and ABC [7].”