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IJCNN
2006
IEEE
14 years 1 months ago
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
Shengxiang Yang
EURODAC
1995
IEEE
182views VHDL» more  EURODAC 1995»
13 years 11 months ago
Delay modelling improvement for low voltage applications
Based on an explicit formulation of delays, an improved model for low voltage operation of CMOS inverter has been derived. Extrinsic and intrinsic effects, such as transistor curr...
Jean Michel Daga, Michel Robert, Daniel Auvergne
OPODIS
2010
13 years 5 months ago
Self-stabilizing Byzantine Asynchronous Unison,
We explore asynchronous unison in the presence of systemic transient and permanent Byzantine faults in shared memory. We observe that the problem is not solvable under less than s...
Swan Dubois, Maria Gradinariu Potop-Butucaru, Mikh...
ATMOS
2009
102views Optimization» more  ATMOS 2009»
13 years 8 months ago
An Improved Train Classification Procedure for the Hump Yard Lausanne Triage
In this paper we combine an integer programming approach and a computer simulation tool to successfully develop and verify an improved classification schedule for a real-world trai...
Peter Marton, Jens Maue, Marc Nunkesser
IPPS
2006
IEEE
14 years 1 months ago
An evaluation of heuristics for SLA based parallel job scheduling
In the context of SLA based job scheduling for high performance grid computing, this paper investigates the behaviour of various scheduling heuristics to schedule SLA-bounded jobs...
Viktor Yarmolenko, Rizos Sakellariou