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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
13 years 9 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 7 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
AIPS
2009
13 years 6 months ago
Just-In-Time Scheduling with Constraint Programming
This paper considers Just-In-Time Job-Shop Scheduling, in which each activity has an earliness and a tardiness cost with respect to a due date. It proposes a constraint programmin...
Jean-Noël Monette, Yves Deville, Pascal Van H...
BMCBI
2010
116views more  BMCBI 2010»
13 years 5 months ago
A hybrid approach to protein folding problem integrating constraint programming with local search
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel
IJCAI
1989
13 years 6 months ago
Constrained Heuristic Search
Cognitive architectures aspire for generality both in terms of problem solving and learning across a range of problems, yet to date few examples of domain independent learning has...
Mark S. Fox, Norman M. Sadeh, Can A. Baykan