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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 4 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
IJCAI
2003
14 years 11 months ago
Backdoors To Typical Case Complexity
There has been significant recent progress in reasoning and constraint processing methods. In areas such as planning and finite model-checking, current solution techniques can h...
Ryan Williams, Carla P. Gomes, Bart Selman
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
15 years 3 months ago
A genetic algorithm encoding for a class of cardinality constraints
A genetic algorithm encoding is proposed which is able to automatically satisfy a class of important cardinality constraints where the set of distinct values of the design variabl...
Helio J. C. Barbosa, Afonso C. C. Lemonge
PR
2008
88views more  PR 2008»
14 years 10 months ago
Modified global k
Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed. However due to the large number of genes only a ...
Adil M. Bagirov
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 4 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith