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Few Topics Are:

  • Methods for multi-objective optimization
  • Multi-criteria decision-making techniques.
  • Classical methods for treating multi-objective problems
  • Advanced methods, based on Pareto-optimality
  • Evolutionary techniques for optimization problems with and without constraints.
  • Leading algorithms
  • NSGA-II, SPEA-2, and MO-CMA-ES.
  • Methods to compare algorithms
  • Test functions and measures to analyze the obtained approximated Pareto-optimal set and front.
  • The numerical limitations of the presented algorithms .
  • Methods to cope with such limitations
  • Dimensionality of the Pareto-front.
  • Multi-criteria decision-making approaches
  • Combination with multi-objective optimization