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» Evaluating Adaptive Problem Selection
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127
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GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 3 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...
125
Voted
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 3 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
122
Voted
IPPS
1997
IEEE
15 years 6 months ago
Parallel Simulated Annealing: An Adaptive Approach
This paper analyses alternatives for the parallelization of the Simulated Annealing algorithm when applied to the placement of modules in a VLSI circuit considering the use of PVM...
Jonas Knopman, Júlio S. Aude
139
Voted
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
16 years 3 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
134
Voted
CIKM
2009
Springer
15 years 6 months ago
Classification-based resource selection
In some retrieval situations, a system must search across multiple collections. This task, referred to as federated search, occurs for example when searching a distributed index o...
Jaime Arguello, Jamie Callan, Fernando Diaz