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ICCBR
2009
Springer
15 years 4 months ago
Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge
Oil well drilling is a complex process which frequently leads to operational problems. In order to deal with some of these problems, knowledge intensive case based reasoning (KiCBR...
Samad Valipour Shokouhi, Agnar Aamodt, Pål S...
CEC
2009
IEEE
15 years 3 months ago
A dynamic artificial immune algorithm applied to challenging benchmarking problems
Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Fabrício Olivetti de França, Fernand...
IPCO
1998
152views Optimization» more  IPCO 1998»
15 years 1 months ago
Approximation Bounds for a General Class of Precedence Constrained Parallel Machine Scheduling Problems
Abstract. A well studied and difficult class of scheduling problems concerns parallel machines and precedence constraints. In order to model more realistic situations, we consider ...
Alix Munier, Maurice Queyranne, Andreas S. Schulz
CEC
2010
IEEE
15 years 29 days ago
Hyper-heuristics with a dynamic heuristic set for the home care scheduling problem
A hyper-heuristic performs search over a set of other search mechanisms. During the search, it does not require any problem-dependent data. This structure makes hyperheuristics pro...
Mustafa Misir, Katja Verbeeck, Patrick De Causmaec...
APJOR
2010
112views more  APJOR 2010»
14 years 12 months ago
Sample Average Approximation Methods for a Class of Stochastic Variational inequality Problems
In this paper we apply the well known sample average approximation (SAA) method to solve a class of stochastic variational inequality problems (SVIPs). We investigate the existenc...
Huifu Xu