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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 ... -
Decision making in multiobjective optimization problems under uncertainty : balancing between robustness and quality
Zhou-Kangas, Yue; Miettinen, Kaisa (Springer, 2019)As an emerging research field, multiobjective robust optimization employs minmax robustness as the most commonly used concept. Light robustness is a concept in which a parameter, tolerable degradations, can be used to ... -
Assessing the Performance of Interactive Multiobjective Optimization Methods : A Survey
Afsar, Bekir; Miettinen, Kaisa; Ruiz, Francisco (Association for Computing Machinery (ACM), 2021)Interactive methods are useful decision-making tools for multiobjective optimization problems, because they allow a decision-maker to provide her/his preference information iteratively in a comfortable way at the same time ... -
Interactive Multiobjective Robust Optimization with NIMBUS
Zhou-Kangas, Yue; Miettinen, Kaisa; Sindhya, Karthik (Springer, 2018)In this paper, we introduce the MuRO-NIMBUS method for solving multiobjective optimization problems with uncertain parameters. The concept of set-based minmax robust Pareto optimality is utilized to tackle the uncertainty ... -
Multi-scenario multi-objective robust optimization under deep uncertainty : A posteriori approach
Shavazipour, Babooshka; Kwakkel, Jan H.; Miettinen, Kaisa (Elsevier BV, 2021)This paper proposes a novel optimization approach for multi-scenario multi-objective robust decision making, as well as an alternative way for scenario discovery and identifying vulnerable scenarios even before any solution ...