Showing items with similar title or keywords.

• Evolutionary design optimization with Nash games and hybridized mesh/meshless methods in computational fluid dynamics 

  Wang, Hong (University of Jyväskylä, 2012)

• 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 ...

• Algorithmic issues in computational intelligence optimization : from design to implementation, from implementation to design 

  Caraffini, Fabio (University of Jyväskylä, 2016)

  The vertiginous technological growth of the last decades has generated a variety of powerful and complex systems. By embedding within modern hardware devices sophisticated software, they allow the solution of complicated ...

• On approaches for solving computationally expensive multiobjective optimization problems 

  Tabatabaei, Seyed Mohammad Mehdi (University of Jyväskylä, 2016)

  In this thesis, we consider solving computationally expensive multiobjective optimization problems that take into account the preferences of a decision maker (DM). The aim is to support the DM in identifying the most ...

• On solving computationally expensive multiobjective optimization problems with interactive methods 

  Ojalehto, Vesa (University of Jyväskylä, 2014)