Distributed evolutionary algorithms and their models: A survey of the state-of-the-art

By Yue-jiao Gong, Wei-neng Chen, Zhi-hui Zhan, Jun Zhang, Yun Li, Qingfu Zhang, Jingjing Li. Applied Soft Computing, 2015

372 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/d4ef4446b0881817c71c7b5dac73e5fa93e5f7e7

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. Daniel Molina

In Computational Theory and Mathematics

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

Citations in the corpus

• A Survey on Distributed Machine Learning (2019, methodology): “We identify � ve di � erent groups of ML methods that distinguish themselves through the way the algorithm learns: • Evolutionary algorithms (EAs) [57] (and speci � cally Genetic algorithms ) learn iteratively based on evolution.”
• Bio-inspired computation: Where we stand and what's next (2019, methodology): “To begin with, the master-slave model is a simple albeit effective dEA model [209, 210].”