Kaisa Miettinen

Professor

University of Jyväskylä

Finland

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About

Kaisa Miettinen is a Professor at the University of Jyvaskyla, Finland. Her research primarily focuses on multiobjective optimization, decision-making processes, and the development of interactive frameworks to enhance robust solutions under uncertainty. She has contributed significantly to the field through several recent articles exploring decision support approaches and comparative studies of optimization methods.

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

Collaborators (8)

Kathrin Klamroth

Professor for Mathematical Optimization

Bergische Universität Wuppertal

GERMANY

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Tinkle Chugh

Lecturer

University of Exeter

UNITED KINGDOM

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Arto Hautala

University of Jyväskylä

FINLAND

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ANA B. RUIZ

Senior Lecturer

University of Malaga

SPAIN

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Bhupinder Singh Saini

University of Jyväskylä

FINLAND

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Nirupam Chakraborti

Czech Technical University in Prague

CZECH REPUBLIC

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Sunith Bandaru

Professor of Industrial Engineering

University of Skövde

SWEDEN

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Francisco Ruiz

Full Professor

University of Malaga

SPAIN

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Kaisa Miettinen

Research Interests

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About

Articles (16)

Group Decision Making in Multiobjective Optimization: A Systematic Literature Review

Icons for Software Implementations of Interactive Multiobjective Optimization Methods: A Semantic Distance Study

Let decision-makers direct the search for robust solutions: An interactive framework for multiobjective robust optimization under deep uncertainty

An experimental design for comparing interactive methods based on their desirable properties

Handling simulation failures of a computationally expensive multiobjective optimization problem in pump design

SCORE Band Visualizations: Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective Optimization

Comparing interactive evolutionary multiobjective optimization methods with an artificial decision maker

Interactive multiobjective optimization of an extremely computationally expensive pump design problem

DESMILS: a decision support approach for multi-item lot sizing using interactive multiobjective optimization

Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework

Interview: Kalyanmoy Deb Talks about Formation, Development and Challenges of the EMO Community, Important Positions in His Career, and Issues Faced Getting His Works Published

Comparing reference point based interactive multiobjective optimization methods without a human decision maker

Machine learning models in predicting health care costs in patients with a recent acute coronary syndrome: A prospective pilot study

A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods

Designing empirical experiments to compare interactive multiobjective optimization methods

Integration of lot sizing and safety strategy placement using interactive multiobjective optimization

Collaborators (8)

Kathrin Klamroth

Tinkle Chugh

Arto Hautala

ANA B. RUIZ

Bhupinder Singh Saini

Nirupam Chakraborti

Sunith Bandaru

Francisco Ruiz

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