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» Comparison of Multiobjective Evolutionary Algorithms: Empiri...
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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 3 days ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
CAINE
2006
15 years 7 months ago
A multiobjective evolutionary approach for constrained joint source code optimization
The synergy of software and hardware leads to efficient application expression profile (AEP) not only in terms of execution time and energy but also optimal architecture usage. We...
Naeem Zafar Azeemi
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 3 days ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 9 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
EVOW
2004
Springer
15 years 11 months ago
Binary Merge Model Representation of the Graph Colouring Problem
This paper describes a novel representation and ordering model that, aided by an evolutionary algorithm, is used in solving the graph k-colouring problem. Its strength lies in redu...
István Juhos, Attila Tóth, Jano I. v...