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SAGA
2009
Springer
14 years 2 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
ADBIS
2007
Springer
125views Database» more  ADBIS 2007»
14 years 1 months ago
Towards Self-Optimization of Message Transformation Processes
The Message Transformation Model (MTM), for modeling complex message transformation processes in data centric application scenarios, provides strong capabilities for describing the...
Matthias Böhm, Dirk Habich, Uwe Wloka, Jü...
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
14 years 1 months ago
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
AUTOMATICA
2008
127views more  AUTOMATICA 2008»
13 years 7 months ago
On decentralized negotiation of optimal consensus
A consensus problem consists of finding a distributed control strategy that brings the state or output of a group of agents to a common value, a consensus point. In this paper, we...
Björn Johansson, Alberto Speranzon, Mikael Jo...
ICRA
2002
IEEE
94views Robotics» more  ICRA 2002»
14 years 16 days ago
Sensor Planning and Control in a Dynamic Environment
This paper presents an approach to the problem of controlling the configuration of a team of mobile agents equipped with cameras so as to optimize the quality of the estimates de...
John R. Spletzer, Camillo J. Taylor