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» Modelling Bounded Rationality Using Evolutionary Techniques
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SARA
2009
Springer
14 years 4 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
FCCM
2000
IEEE
133views VLSI» more  FCCM 2000»
14 years 2 months ago
Configuration Caching Management Techniques for Reconfigurable Computing
Although run-time reconfigurable systems have been shown to achieve very high performance, the speedups over traditional microprocessor systems are limited by the cost of configur...
Zhiyuan Li, Katherine Compton, Scott Hauck
IVC
2007
91views more  IVC 2007»
13 years 10 months ago
Evolutionary approach to inverse planning in coplanar radiotherapy
A unified evolutionary approach to coplanar radiotherapy inverse planning is proposed. It consists of a genetic algorithm-based framework that solves with little modification tr...
Vitoantonio Bevilacqua, Giuseppe Mastronardi, Gius...
MSWIM
2004
ACM
14 years 3 months ago
Scalable simulation of large-scale wireless networks with bounded inaccuracies
Discrete event network simulators have emerged as popular tools for verification and performance evaluation for various wireless networks. Nevertheless, the desire to model such ...
Zhengrong Ji, Junlan Zhou, Mineo Takai, Rajive Bag...
CEC
2008
IEEE
14 years 4 months ago
Potential and dynamics-based Particle Swarm Optimization
Abstract— The Particle Swarm Optimization (PSO) algorithm is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms. This paper p...
Hyungmin Park, Jong-Hwan Kim