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CORR
2010
Springer
125views Education» more  CORR 2010»
14 years 11 months ago
Critical control of a genetic algorithm
Based on speculations coming from statistical mechanics and the conjectured existence of critical states, I propose a simple heuristic in order to control the mutation probability...
Raphaël Cerf
ICIP
2010
IEEE
14 years 9 months ago
Learning simple texture discrimination filters
Current texture analysis methods enable good discrimination but are computationally too expensive for applications which require high frame rates. This occurs because they use red...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar
SAC
2012
ACM
13 years 7 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
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 5 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 21 days ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens