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GPEM
2002
163views more  GPEM 2002»
13 years 5 months ago
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Daniel Merkle, Martin Middendorf
IPPS
2007
IEEE
14 years 2 days ago
Applying Ant Colony Optimization Metaheuristic to the DAG Layering Problem
— This paper1 presents the design and implementation of an Ant Colony Optimization based algorithm for solving the DAG Layering Problem. This algorithm produces compact layerings...
Radoslav Andreev, Patrick Healy, Nikola S. Nikolov
EOR
2008
156views more  EOR 2008»
13 years 5 months ago
Ant colony optimization for continuous domains
In this paper we present an extension of ant colony optimization (ACO) to continuous domains. We show how ACO, which was initially developed to be a metaheuristic for combinatoria...
Krzysztof Socha, Marco Dorigo
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 6 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
EVOW
2010
Springer
13 years 9 months ago
Ant Colony Optimization for Tree Decompositions
Instances of constraint satisfaction problems can be solved efficiently if they are representable as a tree decomposition of small width. Unfortunately, the task of finding a deco...
Thomas Hammerl, Nysret Musliu