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Multi-criteria Decision Analysis

Many real life problems require simultaneous optimisation of more than one objective function. For example, a portfolio optimisation problem consists of two conflicting objectives: maximise expected portfolio return and minimise the risk. A trade-off between the criteria is needed to ensure a satisfactory design of stochastic systems.

Our research on MCDA includes the use of restricted trade-offs, which are common in environmental problems. A DSS has been designed and implemented for the International Atomic Energy Agency to assist decisions in the power sector.

Another focus is on the integration of partial user preferences in the optimization.

 

WBS Staff

Selected publications

Branke, J.; Greco, S.; Slowinski, R.; Zielniewicz, P.: “Interactive Evolutionary Multiobjective Optimization driven by Ordinal Regression”. Bulletin of the Polish Academy of Science, 58(3), 2010, 347-358

Belton, V.; Branke, J.; Eskelinen, P.; Greco, S.; Molina, J.; Ruiz, F.; Slowinski, R.: “Interactive multiobjective optimization from a learning perspective”. In: Branke, J.; Deb, K.; Miettinen, K.; Slowinski, R. (Hrsg.): Multiobjective Optimization – Interactive and Evolutionary Approaches. LNCS 5252, Springer, 2008, 405-434

Jaszkiewicz, A.; Branke, J.: “Interactive multiobjective evolutionary algorithms”. In: Branke, J.; Deb, K.; Miettinen, K.; Slowinski, R. (Hrsg.): Multiobjective Optimization – Interactive and Evolutionary Approaches. Springer, LNCS 5252, Springer, 2008, 179-194

Branke, J.: “Consideration of partial user preferences in evolutionary multi-objective optimization”. In: Branke, J.; Deb, K.; Miettinen, K.; Slowinski, R. (Hrsg.): Multiobjective Optimization – Interactive and Evolutionary Approaches. LNCS 5252, Springer, 2008, 157-178

N. Gulpinar, P. Harrison, B. Rustem, and Louis F. Pau, Mean-variance optimisation of response time for a tandem M/GI/1 router network with batch arrivals, Performance Modelling and Evaluation of Heterogeneous Networks (2005), 33.

N. Gulpinar, R. Settergren, and B. Rustem, Multistage stochastic mean-variance portfolio analysis with transaction cost, Innovations in Financial and Economic Networks 3(2003), 46–63.

Branke, J.; Kaußler, T.; Schmeck, H.: “Guidance in evolutionary multi-objective optimization”. Advances in Engineering Software 32, Elsevier Publisher, 2001, S. 499-507