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» Classification Rule Discovery with Ant Colony Optimization
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IAT
2003
IEEE
13 years 10 months ago
Classification Rule Discovery with Ant Colony Optimization
—Ant-based algorithms or ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. More recently, Parpinelli and colleagues ...
Bo Liu, Hussein A. Abbass, Bob McKay
AE
2005
Springer
13 years 10 months ago
A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm
This work proposes a new rule pruning procedure for Ant-Miner, an Ant Colony algorithm that discovers classification rules in the context of data mining. The performance of Ant-Min...
Allen Chan, Alex Alves Freitas
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 8 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
PAAMS
2010
Springer
13 years 2 months ago
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a con...
Juan Luis Olmo, Jose María Luna, José...
AUSAI
2005
Springer
13 years 6 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