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» Solving Very Large Crew Scheduling Problems to Optimality
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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 5 months ago
Towards billion-bit optimization via a parallel estimation of distribution algorithm
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm (cGA) to solve very large scale problems with millions to billions of va...
Kumara Sastry, David E. Goldberg, Xavier Llor&agra...
AIPS
2007
14 years 1 months ago
Robust Local Search and Its Application to Generating Robust Schedules
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...
Hoong Chuin Lau, Thomas Ou, Fei Xiao
AI
2010
Springer
13 years 11 months ago
Elicitation strategies for soft constraint problems with missing preferences: Properties, algorithms and experimental studies
We consider soft constraint problems where some of the preferences may be unspecified. This models, for example, settings where agents are distributed and have privacy issues, or ...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
COR
2007
163views more  COR 2007»
13 years 11 months ago
A general heuristic for vehicle routing problems
We present a unified heuristic, which is able to solve five different variants of the vehicle routing problem: the vehicle routing problem with time windows (VRPTW), the capacit...
David Pisinger, Stefan Ropke
RTAS
2002
IEEE
14 years 3 months ago
Feedback Scheduling of Model Predictive Controllers
The paper presents some preliminary results on dynamic scheduling of model predictive controllers (MPCs). In an MPC, the control signal is obtained by on-line optimization of a co...
Dan Henriksson, Anton Cervin, Johan Åkesson,...