Showing items with similar title or keywords.

• A New Hybrid Mutation Operator for Multiobjective Optimization with Differential Evolution 

  Sindhya, Karthik; Ruuska, Sauli; Haanpää, Tomi; Miettinen, Kaisa (Springer, 2011)

  Differential evolution has become one of the most widely used evolution- ary algorithms in multiobjective optimization. Its linear mutation operator is a sim- ple and powerful mechanism to generate trial vectors. However, ...

• A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods 

  Aghaei Pour, Pouya; Bandaru, Sunith; Afsar, Bekir; Emmerich, Michael; Miettinen, Kaisa (IEEE, 2024)

  In recent years, interactive evolutionary multiobjective optimization methods have been getting more and more attention. In these methods, a decision maker, who is a domain expert, is iteratively involved in the solution ...

• 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 ...

• Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods 

  Aghaei Pour, Pouya; Bandaru, Sunith; Afsar, Bekir; Miettinen, Kaisa (ACM, 2022)

  Interactive methods support decision makers in finding the most preferred solution in multiobjective optimization problems. They iteratively incorporate the decision maker's preference information to find the best balance ...

• E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method 

  Ruiz, Ana B.; Sindhya, Karthik; Miettinen, Kaisa; Ruiz, Francisco; Luque, Mariano (Elsevier BV * North-Holland; Association of European Operational Research Societies, 2015)

  Interactive multiobjective optimization methods cannot necessarily be easily used when (industrial) multiobjective optimization problems are involved. There are at least two important factors to be considered with any ...