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GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 3 months ago
Solving geometric TSP with ants
This paper presents an ant-based approach for solving the Traveling Salesman Problem (TSP). Novel concepts of this algorithm that distinguish it from the other heuristics are the ...
Thang Nguyen Bui, Mufit Colpan
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 11 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
WOB
2004
134views Bioinformatics» more  WOB 2004»
13 years 11 months ago
Reconstruction of Phylogenetic Trees using the Ant Colony Optimization Paradigm
We developed a new approach for the reconstruction of phylogenetic trees using ant colony optimization metaheuristics.Atree is constructed using a fully connected graph and the pro...
Heitor S. Lopes, Mauricio Perretto
CAS
2008
68views more  CAS 2008»
13 years 10 months ago
Very Strongly Constrained Problems: an Ant Colony Optimization Approach
: Ant Colony Optimization (ACO) is a class of metaheuristic algorithms sharing the common approach of constructing a solution on the basis of information provided both by a standar...
Vittorio Maniezzo, Matteo Roffilli
IPPS
2007
IEEE
14 years 4 months 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