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GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
14 years 2 months ago
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
Federico Divina, Maarten Keijzer, Elena Marchiori
WSC
2000
13 years 10 months ago
Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of autom...
Kok Kiong Tan, K. Z. Tang
NAR
2002
110views more  NAR 2002»
13 years 8 months ago
Comparative Genometrics (CG): a database dedicated to biometric comparisons of whole genomes
The ever increasing rate at which whole genome sequences are becoming accessible to the scientific community has created an urgent need for tools enabling comparison of chromosome...
Claude-Alain H. Roten, Patrick Gamba, Jean-Luc Bar...
SAC
2012
ACM
12 years 4 months ago
Decrypting classical cipher text using Markov chain Monte Carlo
In this paper, we present the use of Markov Chain Monte Carlo (MCMC) methods to attack the classical ciphers. We use frequency analysis as our basic tool. First we investigate the...
Jian Chen, Jeffrey S. Rosenthal
JMLR
2010
154views more  JMLR 2010»
13 years 3 months ago
MOA: Massive Online Analysis
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernha...