IND-NIMBUS

IND-NIMBUS is aimed at solving nonlinear multiobjective optimization problems and it can be used for solving real-world applications. It is based on interaction between a human decision maker who interactively directs the search for the most preferred trade-off solution (also known as Pareto optimal solutions). IND-NIMBUS contains implementations of different interactive multiobjective optimization methods. In addition, different ways of visualizing the trade-off solutions obtained are included.

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References in zbMATH (referenced in 8 articles )

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  1. Greco, Salvatore (ed.); Ehrgott, Matthias (ed.); Figueira, José Rui (ed.): Multiple criteria decision analysis. State of the art surveys. In 2 volumes (2016)
  2. Miettinen, Kaisa: Survey of methods to visualize alternatives in multiple criteria decision making problems (2014)
  3. Miettinen, Kaisa; Mustajoki, Jyri; Stewart, Theodor J.: Interactive multiobjective optimization with NIMBUS for decision making under uncertainty (2014)
  4. Ojalehto, Vesa; Miettinen, Kaisa; Laukkanen, Timo: Implementation aspects of interactive multiobjective optimization for modeling environments: the case of GAMS-NIMBUS (2014)
  5. Eskelinen, Petri; Miettinen, Kaisa: Trade-off analysis approach for interactive nonlinear multiobjective optimization (2012)
  6. Hartikainen, Markus; Miettinen, Kaisa; Wiecek, Margaret M.: PAINT: Pareto front interpolation for nonlinear multiobjective optimization (2012)
  7. Luque, Mariano; Ruiz, Francisco; Miettinen, Kaisa: Global formulation for interactive multiobjective optimization (2011)
  8. Miettinen, Kaisa; Molina, Julián; González, Mercedes; Hernández-Díaz, Alfredo; Caballero, Rafael: Using box indices in supporting comparison in multiobjective optimization (2009)