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FOCS
2005
IEEE
15 years 3 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
IWANN
2009
Springer
15 years 2 months ago
A Soft Computing System to Perform Face Milling Operations
In this paper we present a soft computing system developed to optimize the face milling operation under High Speed conditions in the manufacture of steel components like molds with...
Raquel Redondo, Pedro Santos, Andrés Bustil...
CEC
2008
IEEE
15 years 4 months ago
Natural Evolution Strategies
— This paper presents Natural Evolution Strategies (NES), a novel algorithm for performing real-valued ‘black box’ function optimization: optimizing an unknown objective func...
Daan Wierstra, Tom Schaul, Jan Peters, Jürgen...
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
14 years 10 months ago
Precision, local search and unimodal functions
We investigate the effects of precision on the efficiency of various local search algorithms on 1-D unimodal functions. We present a (1 + 1)-EA with adaptive step size which fin...
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wege...
DOLAP
2009
ACM
15 years 4 months ago
A taxonomy of ETL activities
Extract-Transform-Load (ETL) activities are software modules responsible for populating a data warehouse with operational data, which have undergone a series of transformations on...
Panos Vassiliadis, Alkis Simitsis, Eftychia Baikou...