Showing items with similar title or keywords.

• 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 ...

• 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 ...

• Surrogate-Assisted Evolutionary Optimization of Large Problems 

  Chugh, Tinkle; Sun, Chaoli; Wang, Handing; Jin, Yaochu (Springer, 2020)

  This chapter presents some recent advances in surrogate-assisted evolutionary optimization of large problems. By large problems, we mean either the number of decision variables is large, or the number of objectives is ...

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

  Wang, Hong (University of Jyväskylä, 2012)

• A surrogate-assisted a priori multiobjective evolutionary algorithm for constrained multiobjective optimization problems 

  Aghaei pour, Pouya; Hakanen, Jussi; Miettinen, Kaisa (Springer, 2024)

  We consider multiobjective optimization problems with at least one computationally expensive constraint function and propose a novel surrogate-assisted evolutionary algorithm that can incorporate preference information ...