Decision Making on Pareto Front Approximations with Inherent Nondominance
Hartikainen, M., Miettinen, K., & Wiecek, M. M. (2011). Decision Making on Pareto Front Approximations with Inherent Nondominance. In Y. Shi, S. Wang, G. Kou, & J. Wallenius (Eds.), Proceedings of the 2nd International Conference on Applied Operational Research - ICAOR'10 (pp. 35-45). Springer. Lecture Notes in Economics and Mathematical Systems, 648. https://doi.org/10.1007/978-3-642-19695-9_3
Published in
Lecture Notes in Economics and Mathematical SystemsDate
2011Copyright
© 2011 Springer
t Approximating the Pareto fronts of nonlinear multiobjective optimization problems is considered and a property called inherent nondominance is proposed for such approximations. It is shown that an approximation having the above property can be explored by interactively solving a multiobjective optimization problem related to it. This exploration can be performed with available interactive multiobjective
optimization methods. The ideas presented are especially useful in solving computationally expensive multiobjective optimization problems with costly function value evaluations.
Publisher
SpringerISBN
978-3-642-19694-2Parent publication ISBN
Is part of publication
Proceedings of the 2nd International Conference on Applied Operational Research - ICAOR'10ISSN Search the Publication Forum
0075-8442Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/20764040
Metadata
Show full item recordCollections
Related items
Showing items with similar title or keywords.
-
Approximation method for computationally expensive nonconvex multiobjective optimization problems
Haanpää, Tomi (University of Jyväskylä, 2012) -
PAINT: Pareto front interpolation for nonlinear multiobjective optimization
Hartikainen, Markus; Miettinen, Kaisa; Wiecek, Margaret M. (Springer, 2012)A method called PAINT is introduced for computationally expensive multiobjective optimization problems. The method interpolates between a given set of Pareto optimal outcomes. The interpolation provided by the PAINT method ... -
Approximation through interpolation in nonconvex multiobjective optimization
Hartikainen, Markus (University of Jyväskylä, 2011) -
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 ... -
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm
Chugh, Tinkle; Kratky, Tomas; Miettinen, Kaisa; Jin, Yaochu; Makkonen, Pekka (ACM, 2019)We formulate and solve a real-world shape design optimization problem of an air intake ventilation system in a tractor cabin by using a preference-based surrogate-assisted evolutionary multiobjective optimization algorithm. ...