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SARA
2009
Springer
16 years 1 months ago
Some Interval Approximation Techniques for MINLP
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
Nicolas Berger, Laurent Granvilliers
ADHOCNOW
2008
Springer
16 years 1 months ago
Local Maximal Matching and Local 2-Approximation for Vertex Cover in UDGs
We present 1 − approximation algorithms for the maximum matching problem in location aware unit disc graphs and in growth-bounded graphs. The algorithm for unit disk graph is loc...
Andreas Wiese, Evangelos Kranakis
GECCO
2004
Springer
16 years 2 days ago
Multi-branches Genetic Programming as a Tool for Function Approximation
This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Pro...
Katya Rodríguez-Vázquez, Carlos Oliv...
DATE
2009
IEEE
107views Hardware» more  DATE 2009»
15 years 10 months ago
Sequential logic rectifications with approximate SPFDs
In the digital VLSI cycle, logic transformations are often required to modify the design to meet different synthesis and optimization goals. Logic transformations on sequential ci...
Yu-Shen Yang, Subarna Sinha, Andreas G. Veneris, R...
WSC
2008
15 years 9 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell