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IJIT
2004
13 years 9 months ago
"Intuition" Operator: Providing Genomes with Reason
In this contribution, the use of a new genetic operator is proposed. The main advantage of using this operator is that it is able to assist the evolution procedure to converge fast...
Grigorios N. Beligiannis, Georgios A. Tsirogiannis...
WSC
2008
13 years 10 months ago
A comparative study of genetic algorithm components in simulation-based optimisation
In this paper, we present a comparative study of different stochastic components of genetic algorithms for simulationbased optimisation of the buffer allocation problem. We explor...
Birkan Can, Andreas Beham, Cathal Heavey
SAC
2008
ACM
13 years 8 months ago
Dynamic populations in genetic algorithms
Biological populations are dynamic in both space and time, that is, the population size of a species fluctuates across their habitats over time. There are rarely any static or fix...
Zhanshan (Sam) Ma, Axel W. Krings
WSC
2007
13 years 10 months ago
Optimal scheduling of probabilistic repetitive projects using completed unit and genetic algorithms
In this paper we introduce the completed unit algorithm (CU-AL), a probabilistic scheduling methodology for repetitive projects. The algorithm has two main advantages, simplicity ...
Chachrist Srisuwanrat, Photios G. Ioannou
CORR
2004
Springer
108views Education» more  CORR 2004»
13 years 8 months ago
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
Abstract. This paper presents two different efficiency-enhancement techniques for probabilistic model building genetic algorithms. The first technique proposes the use of a mutatio...
Kumara Sastry, David E. Goldberg, Martin Pelikan