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ESANN
2003
13 years 6 months ago
Improving iterative repair strategies for scheduling with the SVM
The resource constraint project scheduling problem (RCPSP) is an NP-hard benchmark problem in scheduling which takes into account the limitation of resources’ availabilities in ...
Kai Gersmann, Barbara Hammer
AIPS
2000
13 years 6 months ago
Using Iterative Repair to Improve the Responsiveness of Planning and Scheduling
The majority of planning and scheduling research has focused on batch-oriented models of planning. This paper discusses the use of iterative repair techniques to support a continu...
Steve A. Chien, Russell Knight, Andre Stechert, Ro...
AAAI
1998
13 years 6 months ago
Using Arc Weights to Improve Iterative Repair
One of the surprising findings from the study of CNF satisfiability in the 1990's has been the success of iterative repair techniques, and in particular of weighted iterative...
John Thornton, Abdul Sattar
NECO
2008
112views more  NECO 2008»
13 years 4 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
CORR
2008
Springer
112views Education» more  CORR 2008»
13 years 4 months ago
Improved Squeaky Wheel Optimisation for Driver Scheduling
Abstract. This paper presents a technique called Improved Squeaky Wheel Optimisation (ISWO) for driver scheduling problems. It improves the original Squeaky Wheel Optimisation'...
Uwe Aickelin, Edmund K. Burke, Jingpeng Li