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» Hybrid Optimizations: Which Optimization Algorithm to Use
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JMLR
2010
121views more  JMLR 2010»
15 years 1 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
EVOW
2011
Springer
14 years 9 months ago
Local Search for Mixed-Integer Nonlinear Optimization: A Methodology and an Application
Abstract. A methodology is presented for tackling mixed-integer nonlinear optimization problems by local search, in particular large-scale real-life problems. This methodology is i...
Frédéric Gardi, Karim Nouioua
SEAL
1998
Springer
15 years 10 months ago
A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem
Abstract. This paper deals with the problem of nurse rostering in Belgian hospitals. This is a highly constrained real world problem that was (until the results of this research we...
Edmund K. Burke, Patrick De Causmaecker, Greet Van...
146
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SIAMSC
2008
125views more  SIAMSC 2008»
15 years 6 months ago
Hybrid Simulations of Reaction-Diffusion Systems in Porous Media
Abstract. Hybrid or multiphysics algorithms provide an efficient computational tool for combining micro- and macroscale descriptions of physical phenomena. Their use becomes impera...
Alexandre M. Tartakovsky, Daniel M. Tartakovsky, T...
ICCAD
2006
IEEE
141views Hardware» more  ICCAD 2006»
16 years 3 months ago
Design optimization for single-event upset robustness using simultaneous dual-VDD and sizing techniques
An optimization algorithm for the design of combinational circuits that are robust to single-event upsets (SEUs) is described. A simple, highly accurate model for the SEU robustne...
Mihir R. Choudhury, Quming Zhou, Kartik Mohanram