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» Adapting binary fitness functions in Genetic Algorithms
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WSC
2008
14 years 12 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
COMSIS
2010
14 years 7 months ago
Generative 3D images in a visual evolutionary computing system
This paper presents a novel computer-aided design system which uses a computational approach to producing 3D images for stimulating creativity of designers. It introduces the genet...
Hong Liu
DMIN
2006
142views Data Mining» more  DMIN 2006»
14 years 11 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
14 years 10 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
15 years 1 months ago
Behavioural GP diversity for dynamic environments: an application in hedge fund investment
We present a new mechanism for preserving phenotypic behavioural diversity in a Genetic Programming application for hedge fund portfolio optimization, and provide experimental res...
Wei Yan, Christopher D. Clack