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» On Some Optimization Heuristics for Lesk-Like WSD Algorithms
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GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
14 years 28 days ago
Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem
Randomized search heuristics, among them randomized local search and evolutionary algorithms, are applied to problems whose structure is not well understood, as well as to problems...
Frank Neumann, Ingo Wegener
ALENEX
2008
142views Algorithms» more  ALENEX 2008»
13 years 9 months ago
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Andrey Goder, Vladimir Filkov
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 1 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
CP
2004
Springer
14 years 28 days ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
HPCC
2011
Springer
12 years 7 months ago
Heuristic-Based Techniques for Mapping Irregular Communication Graphs to Mesh Topologies
— Mapping of parallel applications on the network topology is becoming increasingly important on large supercomputers. Topology aware mapping can reduce the hops traveled by mess...
Abhinav Bhatele, Laxmikant V. Kalé