Sciweavers

6562 search results - page 145 / 1313
» Noetherianity and Combination Problems
Sort
View
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
16 years 8 days 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
SAC
2005
ACM
15 years 11 months ago
Box-set consistency for interval-based constraint problems
As opposed to finite domain CSPs, arc consistency cannot be enforced, in general, on CSPs over the reals, including very simple instances. In contrast, a stronger property, the s...
Gilles Chabert, Gilles Trombettoni, Bertrand Neveu
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 11 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
170
Voted
ASPDAC
1998
ACM
119views Hardware» more  ASPDAC 1998»
15 years 10 months ago
Integer Programming Models for Optimization Problems in Test Generation
— Test Pattern Generation for combinational circuits entails the identification of primary input assignments for detecting each fault in a set of target faults. An extension to ...
João P. Marques Silva
CP
2008
Springer
15 years 7 months ago
Exploiting Decomposition in Constraint Optimization Problems
Decomposition is a powerful technique for reducing the size of a backtracking search tree. However, when solving constraint optimization problems (COP's) the standard techniqu...
Matthew Kitching, Fahiem Bacchus