Bioinspired computation in combinatorial optimization: algorithms and their computational complexity

By F. Neumann, C. Witt. Annual Conference on Genetic and Evolutionary Computation, 2010

405 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Genetics

View Paper: https://www.semanticscholar.org/paper/b3d105ea0a68db359dc5bb655718ff28ca3d060b

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 Genetics

1. Ponnuthurai Nagaratnam Suganthan
2. Francisco Herrera
3. Swagatam Das
4. Xin-She Yang

Citations in the corpus

• Bio-inspired computation: Where we stand and what's next (2019, background): “To begin with, the understanding of the working mechanisms of bio-inspired techniques has traditionally progressed by addressing fundamental questions on their convergence properties and computational complexity with different mathematical frameworks and tools [53,54].”