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EUROPAR
2007
Springer
16 years 1 months ago
Acyclic Preference Systems in P2P Networks
In this work we study preference systems suitable for the Peer-to-Peer paradigm. Most of them fall in one of the three following categories: global, symmetric and complementary. Al...
Anh-Tuan Gai, Dmitry Lebedev, Fabien Mathieu, Fabi...
164
Voted
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
16 years 1 months ago
One-test-at-a-time heuristic search for interaction test suites
Algorithms for the construction of software interaction test suites have focussed on the special case of pairwise coverage; less is known about efficiently constructing test suite...
Renée C. Bryce, Charles J. Colbourn
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
16 years 1 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li
225
Voted
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
16 years 1 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
166
Voted
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
16 years 1 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna