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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 11 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
EVOW
2006
Springer
13 years 9 months ago
Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning
An original approach, termed Divide-and-Evolve is proposed to hybridize Evolutionary Algorithms (EAs) with Operational Research (OR) methods in the domain of Temporal Planning Prob...
Marc Schoenauer, Pierre Savéant, Vincent Vi...
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
13 years 11 months ago
An artificial immune system algorithm for CDMA multiuser detection over multi-path channels
Based on the Antibody Clonal Selection Theory of immunology, we put forward a novel clonal selection algorithm for multiuser detection in Code-division Multiple-access Systems. By...
Maoguo Gong, Ling Wang, Licheng Jiao, Haifeng Du
ML
2002
ACM
167views Machine Learning» more  ML 2002»
13 years 5 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 6 months ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana