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ASPDAC
1999
ACM
157views Hardware» more  ASPDAC 1999»
15 years 11 months ago
A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization
: This paper presents a genetic algorithm based approach for algebraic optimization of behavioral system specifications. We introduce a chromosomal representation of data-flow gr...
Birger Landwehr
DGCI
2006
Springer
15 years 10 months ago
A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography
Abstract. Discrete tomography concerns the reconstruction of functions with a finite number of values from few projections. For a number of important real-world problems, this tomo...
Stefan Weber, Antal Nagy, Thomas Schüle, Chri...
WSCG
2003
155views more  WSCG 2003»
15 years 8 months ago
Optimal Curve Fitting to Digital Data
An optimal curve fitting technique has been developed which is meant to automatically provide a fit to any ordered digital data in plane. A more flexible class of rational cubic f...
Muhammad Sarfraz
IOR
2008
82views more  IOR 2008»
15 years 6 months ago
Heavy-Traffic Optimality of a Stochastic Network Under Utility-Maximizing Resource Allocation
We study a stochastic network that consists of a set of servers processing multiple classes of jobs. Each class of jobs requires a concurrent occupancy of several servers while be...
Heng-Qing Ye, David D. Yao
SIAMJO
2002
124views more  SIAMJO 2002»
15 years 6 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...