Future Challenges

  • Authors:

  • Kaisa Miettinen;Kalyanmoy Deb;Johannes Jahn;Wlodzimierz Ogryczak;Koji Shimoyama;Rudolf Vetschera

  • Affiliations:

  • Department of Mathematical Information Technology, University of Jyväskylä, Finland FI-40014;Department of Mechanical Engineering, Indian Institute of Technology Kanpur, India PIN 208 016;Department of Mathematics, University of Erlangen-Nürnberg, Erlangen, Germany 91058;Institute of Control & Computation Engineering, Faculty of Electronics & Information Technology, Warsaw University of Technology, Warsaw, Poland 00-665;Institute of Fluid Science, Tohoku University, Aoba-ku, Sendai, Japan 980-8577;Department of Business Administration, University of Vienna, Wien, Austria 1210

  • Venue:
  • Multiobjective Optimization
  • Year:
  • 2008

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Abstract

Many important topics in multiobjective optimization and decision making have been studied in this book so far. In this chapter, we wish to discuss some new trends and challenges which the field is facing. For brevity, we here concentrate on three main issues: new problem areas in which multiobjective optimization can be of use, new procedures and algorithms to make efficient and useful applications of multiobjective optimization tools and, finally, new interesting and practically usable optimality concepts. Some research has already been started and some such topics are also mentioned here to encourage further research. Some other topics are just ideas and deserve further attention in the near future.