A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP
By Carlos Fabián García-Martínez, Oscar Cordón, Francisco Herrera. European Journal of Operational Research, 2007
317 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/f507e7c3cc1d09aee34da73f8f6b1a5de27cd3d5
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
- Marco Dorigo
- Thomas Stützle
- Christian Blum
- Haibing Guan
- Seyedali Mirjalili
- Manuel López-Ibáñez
- Xin-She Yang
- Holger H. Hoos
In Computational Theory and Mathematics
- Thomas Stützle
- Marco Dorigo
- Seyedali Mirjalili
- Christian Blum
- Holger H. Hoos
- Frank Hutter
- Kevin Leyton-Brown
- Abdolreza Hatamlou
In Industrial and Manufacturing Engineering
- Marco Dorigo
- Thomas Stützle
- Christian Blum
- Seyedali Mirjalili
- Holger H. Hoos
- Manuel López-Ibáñez
- Abdolreza Hatamlou
- Mauro Birattari
Citations in the corpus
- Ant Colony Optimization: Overview and Recent Advances (2018, methodology): “For a detailed overview of the available multiobjective ACO algorithms we refer to the review articles by Garc´ıa-Mart´ınez [78], that also contains an experimental evaluation of some proposed ACO approaches, and by Angus and Woodward [5].”
- A multi-objective ant colony system algorithm for virtual machine placement in cloud computing (2013, background): “Recently there have also been a number of studies extending ACO to the field of multi-objective optimization [33].”