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» Evolutionary Computation for Modeling and Optimization
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GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 10 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
GRID
2007
Springer
15 years 10 months ago
Multi-objective planning for workflow execution on Grids
Utility Grids create an infrastructure for enabling users to consume services transparently over a global network. When optimizing workflow execution on utility Grids, we need to c...
Jia Yu, Michael Kirley, Rajkumar Buyya
SAC
2010
ACM
16 years 1 months ago
Dynamic optimization of power and performance for virtualized server clusters
In this paper we present an optimization solution for power and performance management in a platform running multiple independent applications. Our approach assumes a virtualized ...
Vinicius Petrucci, Orlando Loques, Daniel Moss&eac...
SIGGRAPH
1993
ACM
15 years 10 months ago
Mesh optimization
We present a method for solving the following problem: Given a set of data points scattered in three dimensions and an initial triangular mesh M0, produce a mesh M, of the same to...
Hugues Hoppe, Tony DeRose, Tom Duchamp, John Alan ...
ICIP
2006
IEEE
16 years 8 months ago
Spatially Constrained Wiener Filter with Markov Autocorrelation Modeling for Image Resolution Enhancement
This paper develops a practical method for image resolution enhancement. The method optimizes the spatially constrained Wiener filter for an efficiently parameterized model of the...
Jiazheng Shi, Stephen E. Reichenbach