Pareto Ant Colony Optimization: A Metaheuristic Approach to Multiobjective Portfolio Selection
By Karl F. Doerner, Walter J. Gutjahr, Richard F. Hartl, C. Strauss, Christian Stummer. Annals of Operations Research, 2004
467 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/68d51e5f01744e595752f07ac5f97deb7aef17a2
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In Artificial Intelligence
- Francisco Herrera
- Oscar Cordón
- Carlos Fabián García-Martínez
- Christian Blum
- Marco Dorigo
- Enrique Herrera-Viedma
- Salvador Garcia
- Alberto Fernández
In Computational Theory and Mathematics
- Oscar Cordón
- Francisco Herrera
- Carlos Fabián García-Martínez
- Christian Blum
- Enrique Herrera-Viedma
- Luis Martínez-López
- Zeshui Xu
- Francisco Chiclana
Citations in the corpus
- A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP (2007, methodology): “Recently, some researchers have designed ACO algorithms to deal with multi-objective problems (MOACO algorithms) [1,3,5,16,17,25,28,30,32,38, 39,41,46].”
- Swarm Intelligence in Optimization (2008, unknown): “Traveling salesman problem Dorigo, Maniezzo, and Colorni [46, 50, 51] Dorigo and Gambardella [49] Stützle and Hoos [164] Quadratic assignment problem Maniezzo [109] Maniezzo and Colorni [111] Stützle and Hoos [164] Scheduling problems Stützle [162] den Besten, Stützle, and Dorigo [41] Gagné, Price, ”
- A survey on algorithmic approaches for solving tourist trip design problems (2014, unknown): “[50].”
- Ant colony optimization: Introduction and recent trends (2005, background): “Multi-objective problems Guntsch and Middendorf [52] Lopéz-Ibáñez, Paquete, and Stützle [62] Doerner, Gutjahr, Hartl, Strauss, and Stummer [29]”