Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/29553
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Type: Conference paper
Title: Prediction and optimization in a dynamic environment: A case study
Author: Schmidt, M.
Michalewicz, Z.
Michalewicz, M.
Chiriac, C.
Citation: The 2005 IEEE Congress on Evolutionary Computation : IEEE CEC 2005, 2-5 September, 2005, Edinburgh, Scotland / pp. 781-788
Publisher: IEEE
Publisher Place: USA
Issue Date: 2005
ISBN: 0780393635
Conference Name: Congress on Evolutionary Computation (2005 : Edinburgh, Scotland)
Editor: McKay, B.
Abstract: This application-oriented paper presents a particular case study: a general description of the design and implementation of an intelligent system for one of the world's largest car manufacturers. The presented optimization problem was very challenging, as it included many prediction and optimization elements. The system was installed as a full production system in 2002, and has been used since then to recommend the best distribution of cars on a daily basis. The system improves profits by hundreds of millions of dollars (USD) per year. This significant return on investment was possible only by combining prediction, optimization, and adaptation techniques into one integrated system.
Description: © Copyright 2005 IEEE
DOI: 10.1109/CEC.2005.1554762
Appears in Collections:Aurora harvest 6
Computer Science publications

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