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» Dynamic populations in genetic algorithms
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ICML
2003
IEEE
15 years 11 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
IICAI
2003
15 years 7 months ago
The Acyclic Bayesian Net Generator
Abstract. We present the Acyclic Bayesian Net Generator, a new approach to learn the structure of a Bayesian network using genetic algorithms. Due to the encoding mechanism, acycli...
Pankaj B. Gupta, Vicki H. Allan
KES
2006
Springer
15 years 6 months ago
A GA Driven Intelligent System for Medical Diagnosis
Manipulation of Male sexual dysfunction (or Impotence) that concerns 10% of the male population requires expertise and great experience. Different diagnostic approaches according t...
Grigorios N. Beligiannis, Ioannis Hatzilygeroudis,...
WCE
2007
15 years 7 months ago
Genetic Algorithm Optimized PI and Fuzzy Sliding Mode Speed Control for DTC Drives
— This paper presents a detailed comparison between a conventional PI controller and a variable structure controller based on a fuzzy sliding mode strategy used for speed control...
Shady M. Gadoue, Damian Giaouris, J. W. Finch
GECCO
2003
Springer
15 years 11 months ago
Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...
Rodney Fry, Andrew M. Tyrrell