Multiobjective optimization using evolutionary algorithms — A comparative case study

  • Eckart Zitzler
  • Lothar Thiele
Conference paper

DOI: 10.1007/BFb0056872

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1498)
Cite this paper as:
Zitzler E., Thiele L. (1998) Multiobjective optimization using evolutionary algorithms — A comparative case study. In: Eiben A.E., Bäck T., Schoenauer M., Schwefel HP. (eds) Parallel Problem Solving from Nature — PPSN V. PPSN 1998. Lecture Notes in Computer Science, vol 1498. Springer, Berlin, Heidelberg

Abstract

Since 1985 various evolutionary approaches to multiobjective optimization have been developed, capable of searching for multiple solutions concurrently in a single run. But the few comparative studies of different methods available to date are mostly qualitative and restricted to two approaches. In this paper an extensive, quantitative comparison is presented, applying four multiobjective evolutionary algorithms to an extended 0/1 knapsack problem.

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Copyright information

© Springer-Verlag 1998

Authors and Affiliations

  • Eckart Zitzler
    • 1
  • Lothar Thiele
    • 1
  1. 1.Computer Engineering and Communication Networks Laboratory (TIK)Swiss Federal Institute of Technology ZurichZurichSwitzerland

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