Title :
Multi-Objective Optimization in Self-Optimizing Systems
Author_Institution :
Paderborn Univ.
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;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.348080