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» A New Crossover Operator for Genetic Algorithms
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ICML
2003
IEEE
14 years 27 days 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
CORR
2008
Springer
95views Education» more  CORR 2008»
13 years 7 months ago
An Indirect Genetic Algorithm for a Nurse Scheduling Problem
This paper describes a Genetic Algorithms approach to a manpower-scheduling problem arising at a major UK hospital. Although Genetic Algorithms have been successfully used for sim...
Uwe Aickelin, Kathryn A. Dowsland
RAS
2000
130views more  RAS 2000»
13 years 7 months ago
Allocating optimal index positions on tool magazines using genetic algorithms
This paper presents an optimisation system software developed for the determination of optimal index positions of cutting tools on the automatic tool changer (ATC) or turret magaz...
Türkay Dereli, I. Hüseyin Filiz
CEC
2008
IEEE
14 years 2 months ago
Mesh dependency of stress-based crossover for structural topology optimization
— This paper presents a genetic algorithm (GA) with a stress-based crossover (SX) operator to obtain a solution without checkerboard patterns for multi-constrained topology optim...
Cuimin Li, Tomoyuki Hiroyasu, Mitsunori Miki
GECCO
2011
Springer
248views Optimization» more  GECCO 2011»
12 years 11 months ago
Size-based tournaments for node selection
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
Thomas Helmuth, Lee Spector, Brian Martin