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ENC
2005
IEEE
16 years 2 days ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...
WSC
2008
15 years 8 months ago
Speeding up call center simulation and optimization by Markov chain uniformization
Staffing and scheduling optimization in large multiskill call centers is time-consuming, mainly because it requires lengthy simulations to evaluate performance measures and their ...
Eric Buist, Wyean Chan, Pierre L'Ecuyer
DSD
2008
IEEE
139views Hardware» more  DSD 2008»
15 years 8 months ago
Discrete Particle Swarm Optimization for Multi-objective Design Space Exploration
Platform-based design represents the most widely used approach to design System-On-Chip (SOC) applications. In this context, the Design Space Exploration (DSE) phase consists of o...
Gianluca Palermo, Cristina Silvano, Vittorio Zacca...
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 6 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
JSCIC
2006
98views more  JSCIC 2006»
15 years 6 months ago
Optimal Strong-Stability-Preserving Time-Stepping Schemes with Fast Downwind Spatial Discretizations
In the field of strong-stability-preserving time discretizations, a number of researchers have considered using both upwind and downwind approximations for the same derivative, in...
Sigal Gottlieb, Steven J. Ruuth