A random-key genetic algorithm for the generalized traveling salesman problem

By Lawrence V. Snyder, Mark S. Daskin. 2006

349 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering

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. Lingxi Xie
2. Alan L. Yuille
3. Quoc V. Le
4. Trevor Darrell
5. Liang-Chieh Chen
6. Raquel Urtasun
7. Qi Tian
8. Dacheng Tao

In Computational Theory and Mathematics

1. Alan L. Yuille

In Industrial and Manufacturing Engineering

1. Alan L. Yuille
2. Lingxi Xie

Citations in the corpus

• Genetic CNN (2017, background): “Researches are conducted to improve the performance of genetic algorithms, including performing local search [37] and generating random keys [33].”