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• Approximation method for computationally expensive nonconvex multiobjective optimization problems 

  Haanpää, Tomi (University of Jyväskylä, 2012)

• On solving computationally expensive multiobjective optimization problems with interactive methods 

  Ojalehto, Vesa (University of Jyväskylä, 2014)

• Handling expensive multiobjective optimization problems with evolutionary algorithms 

  Chugh, Tinkle (University of Jyväskylä, 2017)

  Multiobjective optimization problems (MOPs) with a large number of conflicting objectives are often encountered in industry. Moreover, these problem typically involve expensive evaluations (e.g. time consuming simulations ...

• A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms 

  Chugh, Tinkle; Sindhya, Karthik; Hakanen, Jussi; Miettinen, Kaisa (Springer, 2019)

  Evolutionary algorithms are widely used for solving multiobjective optimization problems but are often criticized because of a large number of function evaluations needed. Approximations, especially function approximations, ...

• DESDEO: The Modular and Open Source Framework for Interactive Multiobjective Optimization 

  Misitano, Giovanni; Saini, Bhupinder Singh; Afsar, Bekir; Shavazipour, Babooshka; Miettinen Kaisa (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Interactive multiobjective optimization methods incorporate preferences from a human decision maker in the optimization process iteratively. This allows the decision maker to focus on a subset of solutions, learn about the ...