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TSE
2011
144views more  TSE 2011»
15 years 1 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li
IPPS
2003
IEEE
15 years 11 months ago
A Genetic Approach to Planning in Heterogeneous Computing Environments
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...
EUROGP
2007
Springer
143views Optimization» more  EUROGP 2007»
15 years 10 months ago
Confidence Intervals for Computational Effort Comparisons
Abstract. When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one...
Matthew Walker, Howard Edwards, Chris H. Messom
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
15 years 10 months ago
Classifier systems that compute action mappings
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
Pier Luca Lanzi, Daniele Loiacono
BDA
2004
15 years 7 months ago
Tree Graph Views: On Efficient Evaluation of XQuery in an XML Mediator
XQuery is the emerging standard for querying XML data sources. XLive is a light XML/XQuery mediator developed at University of Versailles whose engine processes an XML algebra der...
Tuyet-Tram Dang-Ngoc, Georges Gardarin, Nicolas Tr...