• DocumentCode
    2371186
  • Title

    Multi-Objective Optimization in Self-Optimizing Systems

  • Author

    Dell´Aere, A.

  • Author_Institution
    Paderborn Univ.
  • fYear
    2006
  • fDate
    6-10 Nov. 2006
  • Firstpage
    4755
  • Lastpage
    4760
  • Abstract
    In this work we present some practical guidelines for applying set-oriented methods for the solution of multi-objective optimization problems to high-dimensional real world problems. First we briefly review the main concepts of multi-objective optimization and describe how these problems are related to self-optimizing systems. In addition we give an overview on the basic set-oriented methods. Finally we apply a new variant of these methods to the energy management for an onboard storage system of a tram, where the aim is to reduce both overhead line peak power and energy consumption simultaneously
  • Keywords
    energy consumption; energy management systems; energy storage; optimisation; road vehicles; energy consumption reduction; energy management; high-dimensional real world problems; multiobjective optimization; onboard storage system; overhead line peak power reduction; self-optimizing systems; set-oriented methods; tram; Decision making; Design optimization; Energy consumption; Energy management; Energy storage; Guidelines; Mathematics; Optimization methods; Pareto optimization; Power engineering and energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
  • Conference_Location
    Paris
  • ISSN
    1553-572X
  • Print_ISBN
    1-4244-0390-1
  • Type

    conf

  • DOI
    10.1109/IECON.2006.348080
  • Filename
    4153361