Kaisa Miettinen
Contact search available for JYU staff members.
ORCID link: http://orcid.org/0000-0003-1013-4689
Active JYU affiliations
- Faculty of Information Technology, Professor
Research interests
My methods/software support decision makers to find the best compromise between several conflicting objectives/criteria. Interactive methods enable gaining insight of the nature of the problem considered. Decision makers in various domains (including industry, economy, defence and policy makers) need support to e.g. handle complex entireties and to make data-driven solutions.
Fields of science
Keywords (YSO)
Projects as Principal investigator
- Data-driven Decision Support with Multiobjective Optimization (DAEMON)
- Academy of Finland
- Decision Support for Computationally Demanding Optimization Problems
- Academy of Finland
- FiDiPro/Decision Support for Complex Multiobjective Optimization Problems (DeCoMo)
- TEKES
Projects as Team Member
- Competitive funding to strengthen universities’ research profiles, University of Jyväskylä, round 3
- Hämäläinen, Keijo
- Academy of Finland
Publications
2 of 12
- Journal of Global Optimization. Volume 75, Issue 1. Special Issue: Global Optimization with Multiple Criteria : Theory, Methods and Applications (2019) Miettinen, Kaisa; et al.; C2
- Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm (2019) Chugh, Tinkle; et al.; A4; OA
- NAUTILUS Navigator : free search interactive multiobjective optimization without trading-off (2019) Ruiz, Ana B.; et al.; A1; OA
- On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization (2019) Mazumdar, Atanu; et al.; A4; OA
- Solving multiobjective optimization problems with decision uncertainty : an interactive approach (2019) Zhou-Kangas, Yue; et al.; A1; OA
- ANOVA-MOP : ANOVA Decomposition for Multiobjective Optimization (2018) Tabatabaei, Mohammad; et al.; A1; OA
- Artificial Decision Maker Driven by PSO : An Approach for Testing Reference Point Based Interactive Methods (2018) Barba-González, Cristóbal; et al.; A4; OA
- A Simple Indicator Based Evolutionary Algorithm for Set-Based Minmax Robustness (2018) Zhou-Kangas, Yue; et al.; A4; OA
- A Surrogate-assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-objective Optimization (2018) Chugh, Tinkle; et al.; A1; OA
- IEEE Transactions on Evolutionary Computation, Vol. 22, issue 1. Special issue on Evolutionary Many-Objective Optimization (2018) Jin, Yaochu; et al.; C2
- Integrating risk management tools for regional forest planning : an interactive multiobjective value at risk approach (2018) Eyvindson, Kyle; et al.; A1; OA
- Interactive Multiobjective Robust Optimization with NIMBUS (2018) Zhou-Kangas, Yue; et al.; A4; OA
- Personalization of Multicriteria Decision Support Systems (2018) Ehrgott, Matthias; et al.; B3; OA
- Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies (2018) Chugh, Tinkle; et al.; A4; OA
- Design of a Permanent Magnet Synchronous Generator using Interactive Multiobjective Optimization (2017) Sindhya, Karthik; et al.; A1; OA
- Quantifying and resolving conservation conflicts in forest landscapes via multiobjective optimization (2017) Mazziotta, Adriano; et al.; A1; OA
- Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system (2017) Chugh, Tinkle; et al.; A4; OA
- Why Use Interactive Multi-Objective Optimization in Chemical Process Design? (2017) Miettinen, Kaisa; et al.; A3; OA
- Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms (2016) Hakanen, Jussi; et al.; A4
- Data-Based Forest Management with Uncertainties and Multiple Objectives (2016) Hartikainen, Markus; et al.; A4; OA
