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CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 7 months ago
Randomised Variable Neighbourhood Search for Multi Objective Optimisation
Various local search approaches have recently been applied to machine scheduling problems under multiple objectives. Their foremost consideration is the identification of the set ...
Martin Josef Geiger
ECAI
2006
Springer
13 years 9 months ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
ICCV
2007
IEEE
14 years 9 months ago
Coupled Detection and Trajectory Estimation for Multi-Object Tracking
We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. It is formulated in a...
Bastian Leibe, Konrad Schindler, Luc J. Van Gool
ECTEL
2007
Springer
14 years 1 months ago
Adaptation of the ACO Heuristic for Sequencing Learning Activities
This paper describes an initiative aimed at adapting swarm intelligence techniques (in particular, Ant Colony Optimization) to an e-learning environment, thanks to the fact that th...
Sergio Gutiérrez Santos, Grégory Val...
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
13 years 11 months ago
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO
We consider the Bounded Diameter Minimum Spanning Tree problem and describe four neighbourhood searches for it. They are used as local improvement strategies within a variable nei...
Martin Gruber, Jano I. van Hemert, Günther R....