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EMO
2009
Springer
143views Optimization» more  EMO 2009»
13 years 8 months ago
Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model
Traditionally, Predator-Prey Models--although providing a more nature-oriented approach to multi-objective optimization than many other standard Evolutionary Multi-Objective Algori...
Christian Grimme, Joachim Lepping, Alexander Papas...
PAAMS
2010
Springer
13 years 8 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...
AIPS
2006
14 years 1 days ago
Fast Probabilistic Planning through Weighted Model Counting
We present a new algorithm for probabilistic planning with no observability. Our algorithm, called Probabilistic-FF, extends the heuristic forward-search machinery of Conformant-F...
Carmel Domshlak, Jörg Hoffmann
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
14 years 4 months ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
PR
2008
131views more  PR 2008»
13 years 10 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...