Interactive Nonlinear Multiobjective Optimization Methods
Miettinen, K., Hakanen, J., & Podkopaev, D. (2016). Interactive Nonlinear Multiobjective Optimization Methods. In S. Greco, M. Ehrgott, & J. R. Figueira (Eds.), Multiple Criteria Decision Analysis : State of the Art Surveys (2nd ed., pp. 931-980). Springer Science+Business Media. International Series in Operations Research and Management Science, 233. https://doi.org/10.1007/978-1-4939-3094-4_22
Date
2016Discipline
Ekologia ja evoluutiobiologiaTietotekniikkaEcology and Evolutionary BiologyMathematical Information TechnologyCopyright
© Springer Science+Business Media New York. This is a final draft version of an article whose final and definitive form has been published by Springer. Published in this repository with the kind permission of the publisher.
An overview of interactive methods for solving nonlinear multiobjective
optimization problems is given. In interactive methods, the decision
maker progressively provides preference information so that the most
satisfactory Pareto optimal solution can be found for her or his. The
basic features of several methods are introduced and some theoretical
results are provided. In addition, references to modifications and applications
as well as to other methods are indicated. As the role of
the decision maker is very important in interactive methods, methods
presented are classified according to the type of preference information
that the decision maker is assumed to provide.
Publisher
Springer Science+Business MediaParent publication ISBN
978-1-4939-3093-7Is part of publication
Multiple Criteria Decision Analysis : State of the Art SurveysISSN Search the Publication Forum
0884-8289Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/25573004