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ECAI
2000
Springer
13 years 11 months ago
Solving Permutation Constraint Satisfaction Problems with Artificial Ants
Abstract. We describe in this paper Ant-P-solver, a generic constraint solver based on the Ant Colony Optimization (ACO) metaheuristic. The ACO metaheuristic takes inspiration on t...
Christine Solnon
CEC
2010
IEEE
13 years 5 months ago
The one-commodity traveling salesman problem with selective pickup and delivery: An ant colony approach
We introduce a novel combinatorial optimization problem: the one-commodity traveling salesman problem with selective pickup and delivery (1-TSP-SELPD), characterized by the fact th...
Rafael Falcón, Xu Li, Amiya Nayak, Ivan Sto...
ICC
2011
IEEE
272views Communications» more  ICC 2011»
12 years 7 months ago
Dynamic Anycast Routing and Wavelength Assignment in WDM Networks Using Ant Colony Optimization (ACO)
—Ant colony optimization (ACO) is a probabilistic technique used for solving complex computational problems, such as finding optimal routes in networks. It has been proved to pe...
Kavitha Bhaskaran, Joan Triay, Vinod Vokkarane
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
13 years 11 months ago
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO
We consider the Bounded Diameter Minimum Spanning Tree problem and describe four neighbourhood searches for it. They are used as local improvement strategies within a variable nei...
Martin Gruber, Jano I. van Hemert, Günther R....
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 8 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson