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NIPS
1997
15 years 8 months ago
Learning to Order Things
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
William W. Cohen, Robert E. Schapire, Yoram Singer
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 10 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
ESWA
2008
162views more  ESWA 2008»
15 years 6 months ago
Proportionate flexible flow shop scheduling via a hybrid constructive genetic algorithm
The proportionate flow shop (PFS) is considered as a unique case of the flow shop problem in which the processing times of the operations belonging to the same job are equal. A pr...
Der-Fang Shiau, Shu-Chen Cheng, Yueh-Min Huang
IFIP
2004
Springer
16 years 3 hour ago
GPS-Based Route Discovery Algorithms for On-Demand Routing Protocols in MANETs
Abstract. This papers presents new Global Positioning System (GPS)based route discovery algorithms for on-demand routing in MANETs, called Position-based Selective Flooding (PSF). ...
Mehran Abolhasan, Tadeusz A. Wysocki
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
16 years 24 days ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das