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WOB
2004
134views Bioinformatics» more  WOB 2004»
8 years 7 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
IIWAS
2003
8 years 8 months ago
Agent-based Problem Solving: The Ant Colonies Metaphor
In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization techniq...
Stefan Wagner 0002, Michael Affenzeller, Ismail Kh...
AUSAI
2005
Springer
8 years 8 months ago
Understanding the Pheromone System Within Ant Colony Optimization
Abstract. Ant Colony Optimization (ACO) is a collection of metaheuristics inspired by foraging in ant colonies, whose aim is to solve combinatorial optimization problems. We identi...
Stephen Gilmour, Mark Dras
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
8 years 10 months ago
A new version of the ant-miner algorithm discovering unordered rule sets
The Ant-Miner algorithm, first proposed by Parpinelli and colleagues, applies an ant colony optimization heuristic to the classification task of data mining to discover an ordered...
James Smaldon, Alex Alves Freitas
ANTSW
2006
Springer
8 years 10 months ago
On the Invariance of Ant System
It is often believed that the performance of ant system, and in general of ant colony optimization algorithms, depends somehow on the scale of the problem instance at hand. The iss...
Mauro Birattari, Paola Pellegrini, Marco Dorigo
ASIAN
1999
Springer
186views Algorithms» more  ASIAN 1999»
8 years 10 months ago
Ant Colony Optimization for the Ship Berthing Problem
Abstract. Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good solutions for combinatorial optimization problems. ...
Chia Jim Tong, Hoong Chuin Lau, Andrew Lim
ICANN
2009
Springer
8 years 11 months ago
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...
Jefferson R. Souza, Teresa Bernarda Ludermir, Lean...
AIIA
2009
Springer
8 years 11 months ago
Optimal Planning with ACO
In this paper a planning framework based on Ant Colony Optimization techniques is presented. Optimal planning is a very hard computational problem which has been coped with differe...
Marco Baioletti, Alfredo Milani, Valentina Poggion...
EMO
2003
Springer
136views Optimization» more  EMO 2003»
8 years 11 months ago
Solving Multi-criteria Optimization Problems with Population-Based ACO
In this paper a Population-based Ant Colony Optimization approach is proposed to solve multi-criteria optimization problems where the population of solutions is chosen from the set...
Michael Guntsch, Martin Middendorf
PRICAI
2004
Springer
8 years 12 months ago
Constrained Ant Colony Optimization for Data Clustering
Processes that simulate natural phenomena have successfully been applied to a number of problems for which no simple mathematical solution is known or is practicable. Such meta-heu...
Shu-Chuan Chu, John F. Roddick, Che-Jen Su, Jeng-S...
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