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GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
14 years 11 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
IPPS
2007
IEEE
15 years 4 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
CORR
2007
Springer
111views Education» more  CORR 2007»
14 years 10 months ago
Comments on "Design and performance evaluation of load distribution strategies for multiple loads on heterogeneous linear daisy
Min, Veeravalli, and Barlas have proposed strategies to minimize the overall execution time of one or several divisible loads on a heterogeneous linear network, using one or more ...
Matthieu Gallet, Yves Robert, Frédér...
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
15 years 4 months ago
Analyzing the effects of module encapsulation on search space bias
Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field of evolutionary computation show that the use of modularity improves...
Ozlem O. Garibay, Annie S. Wu
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
14 years 11 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen