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KR
1992
Springer
15 years 7 months ago
Intelligent Backtracking Techniques for Job Shop Scheduling
This paper studies a version of the job shop scheduling problem in which some operations have to be scheduled within non-relaxable time windows i.e. earliest latest possible start...
Yalin Xiong, Norman M. Sadeh, Katia P. Sycara
NN
2002
Springer
136views Neural Networks» more  NN 2002»
15 years 2 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
AIPS
2006
15 years 4 months ago
A New Principle for Incremental Heuristic Search: Theoretical Results
Planning is often not a one-shot task because either the world or the agent's knowledge of the world changes. In this paper, we introduce a new principle that can be used to ...
Sven Koenig, Maxim Likhachev
CPAIOR
2010
Springer
15 years 6 months ago
An In-Out Approach to Disjunctive Optimization
Cutting plane methods are widely used for solving convex optimization problems and are of fundamental importance, e.g., to provide tight bounds for Mixed-Integer Programs (MIPs). T...
Matteo Fischetti, Domenico Salvagnin
CORR
2008
Springer
91views Education» more  CORR 2008»
15 years 3 months ago
Randomised Variable Neighbourhood Search for Multi Objective Optimisation
Various local search approaches have recently been applied to machine scheduling problems under multiple objectives. Their foremost consideration is the identification of the set ...
Martin Josef Geiger