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HOLOMAS
2009
Springer
15 years 4 months ago
Collaboration of Metaheuristic Algorithms through a Multi-Agent System
Abstract. This paper introduces a framework based on multi-agent system for solving problems of combinatorial optimization. The framework allows running various metaheuristic algor...
Richard Malek
ICANN
2009
Springer
15 years 11 months ago
Scalable Neural Networks for Board Games
Learning to solve small instances of a problem should help in solving large instances. Unfortunately, most neural network architectures do not exhibit this form of scalability. Our...
Tom Schaul, Jürgen Schmidhuber
WAE
2000
103views Algorithms» more  WAE 2000»
15 years 8 months ago
Lattice Basis Reduction with Dynamic Approximation
Abstract. In this paper we present a heuristic based on dynamic approximations for improving the well-known Schnorr-Euchner lattice basis reduction algorithm. In particular, the ne...
Werner Backes, Susanne Wetzel
ICIP
2004
IEEE
16 years 8 months ago
Theoretical analysis of some regularized image denoising methods
Regularization techniques have been in use in signal recovery for over four decades. In this paper, we propose a new, synthetic approach to the study of regularization methods in ...
Patrick L. Combettes, Valerie R. Wajs
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 10 months ago
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsec...