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GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
14 years 11 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
CORR
2011
Springer
261views Education» more  CORR 2011»
14 years 5 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
ICDCIT
2005
Springer
15 years 3 months ago
Cleaning an Arbitrary Regular Network with Mobile Agents
In this paper, we consider a contaminated network with an intruder. The task for the mobile agents is to decontaminate all hosts while preventing a recontamination and to do so as ...
Paola Flocchini, Amiya Nayak, Arno Schulz
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 4 months ago
Automatic mutation test input data generation via ant colony
Fault-based testing is often advocated to overcome limitations of other testing approaches; however it is also recognized as being expensive. On the other hand, evolutionary algor...
Kamel Ayari, Salah Bouktif, Giuliano Antoniol
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
15 years 3 months ago
Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design
Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some examples. In gene...
Alexandre C. B. Delbem, André Carlos Ponce ...