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» Modeling GA Performance for Control Parameter Optimization
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AAAI
1998
14 years 10 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
WSCG
2003
223views more  WSCG 2003»
14 years 10 months ago
Optimizing Parameters of a Motion Detection System by Means of a Genetic Algorithm
Visual surveillance and monitoring have aroused interest in the computer video community for many years. The main task of these applications is to identify (and track) moving targ...
Alessandro Bevilacqua
GECCO
2004
Springer
15 years 2 months ago
The Royal Road Not Taken: A Re-examination of the Reasons for GA Failure on R1
Previous work investigating the performance of genetic algorithms (GAs) has attempted to develop a set of fitness landscapes, called “Royal Roads” functions, which should be id...
Brian Howard, John Sheppard
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 2 months ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolving musical performance profiles using genetic algorithms with structural fitness
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...
Qijun Zhang, Eduardo Reck Miranda