Showing items with similar title or keywords.

• 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)

• A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods 

  Tabatabaei, Mohammad; Hakanen, Jussi; Hartikainen, Markus; Miettinen, Kaisa; Sindhya, Karthik (Springer Berlin Heidelberg; International Society for Structural and Multidisciplinary Optimization, 2015)

  Computationally expensive multiobjective optimization problems arise, e.g. in many engineering applications, where several conflicting objectives are to be optimized simultaneously while satisfying constraints. In many ...

• 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 ...

• 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 ...