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» A hybrid approach to parameter tuning in genetic algorithms
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SLS
2007
Springer
103views Algorithms» more  SLS 2007»
14 years 1 months ago
Designing and Tuning SLS Through Animation and Graphics: An Extended Walk-Through
Stochastic Local Search (SLS) is quite effective for a variety of Combinatorial (Optimization) Problems (COP). However, the performance of SLS depends on several factors and getti...
Steven Halim, Roland H. C. Yap
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
14 years 1 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
KES
2005
Springer
14 years 1 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...
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
14 years 1 months ago
A Genetic Approach to Multivariate Microaggregation for Database Privacy
Microaggregation is a technique used to protect privacy in databases and location-based services. We propose a new hybrid technique for multivariate microaggregation. Our techniqu...
Antoni Martínez-Ballesté, Agusti Sol...
DATE
2007
IEEE
98views Hardware» more  DATE 2007»
14 years 1 months ago
Simulation-based reusable posynomial models for MOS transistor parameters
We present an algorithm to automatically design posynomial models for parameters of the MOS transistors using simulation data. These models improve the accuracy of the Geometric P...
Varun Aggarwal, Una-May O'Reilly