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» A Mean-Variance Optimization algorithm
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MICAI
2004
Springer
15 years 6 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
GECCO
2010
Springer
180views Optimization» more  GECCO 2010»
15 years 5 months ago
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
This paper presents results of the BBOB-2009 benchmarking of 31 search algorithms on 24 noiseless functions in a black-box optimization scenario in continuous domain. The runtime ...
Nikolaus Hansen, Anne Auger, Raymond Ros, Steffen ...
114
Voted
FSTTCS
2006
Springer
15 years 4 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
EVOW
2008
Springer
15 years 2 months ago
Option Model Calibration Using a Bacterial Foraging Optimization Algorithm
The Bacterial Foraging Optimization (BFO) algorithm is a biologically inspired computation technique which is based on mimicking the foraging behavior of E.coli bacteria. This pape...
Jing Dang, Anthony Brabazon, Michael O'Neill, Davi...
139
Voted
EVOW
2011
Springer
14 years 4 months ago
Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows
The traveling salesman problem with time windows is known to be a really difficult benchmark for optimization algorithms. In this paper, we are interested in the minimization of th...
Arpad Rimmel, Fabien Teytaud, Tristan Cazenave