Differential Evolution With Neighborhood Mutation for Multimodal Optimization

By B. Qu, Ponnuthurai Nagaratnam Suganthan, Jing J. Liang. IEEE Transactions on Evolutionary Computation, 2012

414 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/3cc7f27fa0c159c50fc2cf06baa145b4a2e260a4

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. Sankha Subhra Mullick
8. Pinar Çivicioglu

In Computational Theory and Mathematics

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

Citations in the corpus

• Recent advances in differential evolution - An updated survey (2016, methodology): “In this context, Euclidean distance based neighborhood has been demonstrated to be effective in the context of solving niching problems [153].”
• Bio-inspired computation: Where we stand and what's next (2019, methodology): “Subsequently [166], was the first work to use Euclidean distance for generating offspring within”