A new preference handling technique for interactive multiobjective optimization without trading-off
Miettinen, K., Podkopaev, D., Ruiz, F., & Luque, M. (2015). A new preference handling technique for interactive multiobjective optimization without trading-off. Journal of Global Optimization, 63(4), 633-652. https://doi.org/10.1007/s10898-015-0301-8
Published inJournal of Global Optimization
DisciplineEkologia ja evoluutiobiologiaTietotekniikkaEcology and Evolutionary BiologyMathematical Information Technology
© Springer. This is a final draft version of an article whose final and definitive version has been published by Springer.
Because the purpose of multiobjective optimization methods is to optimize conflicting objectives simultaneously, they mainly focus on Pareto optimal solutions, where improvement with respect to some objective is only possible by allowing some other objective(s) to impair. Bringing this idea into practice requires the decision maker to think in terms of trading-off, which may limit the ability of effective problem solving. We outline some drawbacks of this and exploit another idea emphasizing the possibility of simultaneous improvement of all objectives. Based on this idea, we propose a technique for handling decision maker’s preferences, which eliminates the necessity to think in terms of trade-offs. We incorporate this technique into an interactive trade-off-free method for multiobjective optimization. We call the resulting method NAUTILUS 2, which is also suitable for negotiation support. We demonstrate the applicability of the new method with an example problem.
Publication in research information system
MetadataShow full item record
Showing items with similar title or keywords.
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 ...
Sindhya, Karthik (University of Jyväskylä, 2011)
Integration of lot sizing and safety strategy placement using interactive multiobjective optimization Kania, Adhe; Sipilä, Juha; Misitano, Giovanni; Miettinen, Kaisa; Lehtmäki, Jussi (Elsevier, 2022)We address challenges of unpredicted demand and propose a multiobjective optimization model to integrate a lot sizing problem with safety strategy placement and optimize conflicting objectives simultaneously. The novel ...
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. ...
A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization Filatovas, Ernestas; Podkopaev, Dmitry; Kurasova, Olga (Universitatea Agora, 2015)Interactive methods of multiobjective optimization repetitively derive Pareto optimal solutions based on decision maker's preference information and present the obtained solutions for his/her consideration. Some interactive ...