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» Simulation Optimization: Methods and Applications
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TSMC
2008
99views more  TSMC 2008»
15 years 1 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
SOCO
2010
Springer
15 years 20 hour ago
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
Local genetic algorithms have been designed with the aim of providing effective intensification. One of their most outstanding features is that they may help classical local searc...
Carlos García-Martínez, Manuel Lozan...
ICMLA
2010
14 years 11 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
INFORMS
2010
147views more  INFORMS 2010»
14 years 11 months ago
Exact Algorithms for the Quadratic Linear Ordering Problem
The quadratic linear ordering problem naturally generalizes various optimization problems, such as bipartite crossing minimization or the betweenness problem, which includes linear...
Christoph Buchheim, Angelika Wiegele, Lanbo Zheng
CORR
2011
Springer
221views Education» more  CORR 2011»
14 years 8 months ago
Course on System Design (structural approach)
—The article describes a course on system design (structural approach) which involves the following: issues of systems engineering; structural models; basic technological problem...
Mark Sh. Levin