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» Adapting binary fitness functions in Genetic Algorithms
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65
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GECCO
2010
Springer
150views Optimization» more  GECCO 2010»
15 years 2 months ago
Object-level recombination of commodity applications
This paper presents ObjRecombGA, a genetic algorithm framework for recombining related programs at the object file level. A genetic algorithm guides the selection of object file...
Blair Foster, Anil Somayaji
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 29 days ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
ICTAI
2005
IEEE
15 years 3 months ago
Determining the Optimal Number of Clusters Using a New Evolutionary Algorithm
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
73
Voted
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 2 months ago
PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images
The purpose of this study is to explore an alternative means of hand image classification, one that requires minimal human intervention. The main tool for accomplishing this is a G...
Nawwaf N. Kharma, Ching Y. Suen, Pei F. Guo
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 3 months ago
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
Igor V. Maslov