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EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
13 years 9 months ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
13 years 11 months ago
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
Elena Popovici, Kenneth A. De Jong
MCS
2007
Springer
13 years 11 months ago
Cooperative Coevolutionary Ensemble Learning
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evo...
Daniel Kanevskiy, Konstantin Vorontsov
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
13 years 10 months ago
A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization
Abstract. Recent theoretical work helped explain certain optimizationrelated pathologies in cooperative coevolutionary algorithms (CCEAs). Such explanations have led to adopting sp...
Liviu Panait, R. Paul Wiegand, Sean Luke
KES
2005
Springer
13 years 11 months ago
Dafo, a Multi-agent Framework for Decomposable Functions Optimization
This paper introduces Dafo, a new multi-agent framework for evolutionary optimization relying on a competitive coevolutionary genetic algorithm, aka LCGA (Loosely Coupled Genetic A...
Grégoire Danoy, Pascal Bouvry, Olivier Bois...