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» Optimal Monte Carlo Algorithms
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GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 8 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...
AAAI
2007
13 years 10 months ago
A Multi-Agent Approach to Distributed Rendering Optimization
Physically based rendering is the process of generating a 2D om the abstract description of a 3D Scene. Despite the development of various new techniques and algorithms, the compu...
Carlos Gonzalez-Morcillo, Gerhard Weiss, Luis Jim&...
SBRN
2000
IEEE
14 years 3 days ago
Evolutionary Optimization of RBF Networks
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
Estefane G. M. de Lacerda, Teresa Bernarda Ludermi...
SMI
2008
IEEE
127views Image Analysis» more  SMI 2008»
14 years 2 months ago
Optimal bandwidth selection for MLS surfaces
We address the problem of bandwidth selection in MLS surfaces. While the problem has received relatively little attention in the literature, we show that appropriate selection pla...
Hao Wang, Carlos Eduardo Scheidegger, Cláud...
CDC
2009
IEEE
135views Control Systems» more  CDC 2009»
13 years 5 months ago
Formation control via distributed optimization of alignment error
This paper proposes a method for the stabilization of vehicle formations in the plane under a fixed, but not necessarily complete, sensing graph. In this method each agent acts to ...
Brandon J. Moore, Carlos Canudas de Wit