Memetic algorithms and memetic computing optimization: A literature review

By Ferrante Neri, Carlos Cotta. Swarm and Evolutionary Computation, 2012

652 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/df37beb5bbda42f039a059e571de253b043a221c

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. Swagatam Das
2. Ponnuthurai Nagaratnam Suganthan
3. Seyedali Mirjalili
4. Xin-She Yang
5. Seyed Mohammad Mirjalili
6. Francisco Herrera
7. Pinar Çivicioglu
8. Carlos Artemio Coello Coello

Citations in the corpus

• Bio-inspired computation: Where we stand and what's next (2019, methodology): “optimization approach with local search procedures tightly coupled to the problem at hand [40].”
• Particle Swarm Methods (2018, methodology): “The term Memetic Algorithm [85] is used to describe hybrid algorithms that consist of population-based metaheuristics with additional local search or learning mechanisms.”