World's Best Scientists 2026 revealed!
Award Badge
Mathematics
Finland
2026

D-Index & Metrics

Computer Science

D-Index
55
Citations
20121
World Ranking
4192
National Ranking
26

Mathematics

D-Index
53
Citations
19787
World Ranking
877
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Mathematics in Finland Leader Award
  • 2025 - Research.com Mathematics in Finland Leader Award
  • 2023 - Research.com Mathematics in Finland Leader Award

Overview

Kaisa Miettinen is affiliated with the University of Jyväskylä in Finland. Their research spans fields primarily within Computer Science and Decision Sciences, focusing on multiple subfields that include Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty, and Ocean Engineering.

The core topics of Kaisa Miettinen's work emphasize advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, evolutionary algorithms and applications, probabilistic and robust engineering design, optimal experimental design methods, water resources management and optimization, and supply chain and inventory management.

Selected recent publications illustrate the scope and application of their research:

  • Assessing the Performance of Interactive Multiobjective Optimization Methods (2021, ACM Computing Surveys)
  • Multi-scenario multi-objective robust optimization under deep uncertainty: A posteriori approach (2021, Environmental Modelling & Software)
  • Visualizations for decision support in scenario-based multiobjective optimization (2021, Information Sciences)
  • DESDEO: The Modular and Open Source Framework for Interactive Multiobjective Optimization (2021, IEEE Access)
  • Surrogate assisted interactive multiobjective optimization in energy system design of buildings (2021, Optimization and Engineering)

Kaisa Miettinen frequently collaborates with several researchers, including:

  • Bekir Afşar
  • Babooshka Shavazipour
  • Bhupinder Singh Saini
  • Tinkle Chugh
  • Jussi Hakanen

The scientist's work has appeared extensively in various publication venues, such as:

  • Journal of Global Optimization
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Access
  • IEEE Transactions on Evolutionary Computation
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Best Publications

  • Nonlinear Multiobjective Optimization

    Kaisa Miettinen

  • Multiobjective Optimization: Interactive and Evolutionary Approaches

    Jürgen Branke;Kalyanmoy Deb;Kaisa Miettinen;Roman Słowiński

  • Data-Driven Evolutionary Optimization: An Overview and Case Studies

    Yaochu Jin;Handing Wang;Tinkle Chugh;Dan Guo

  • A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization

    Tinkle Chugh;Yaochu Jin;Kaisa Miettinen;Jussi Hakanen

  • A preference-based evolutionary algorithm for multi-objective optimization

    Lothar Thiele;Kaisa Miettinen;Pekka J. Korhonen;Julian Molina

  • Introduction to Multiobjective Optimization: Interactive Approaches

    Unknown

  • On scalarizing functions in multiobjective optimization

    Kaisa Miettinen;Marko M. Mäkelä

  • Introduction to Multiobjective Optimization: Noninteractive Approaches

    Kaisa Miettinen;Francisco Ruiz;Andrzej P. Wierzbicki

  • A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms

    Tinkle Chugh;Karthik Sindhya;Jussi Hakanen;Kaisa Miettinen

  • Ordinal criteria in stochastic multicriteria acceptability analysis (SMAA)

    Risto Lahdelma;Kaisa Miettinen;Pekka Salminen

  • Synchronous approach in interactive multiobjective optimization

    Kaisa Miettinen;Marko M. Mäkelä

  • A Hybrid Framework for Evolutionary Multi-Objective Optimization

    Karthik Sindhya;Kaisa Miettinen;Kalyanmoy Deb

  • Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, GE

    Kaisa Miettinen;P. Neittaanmaki

  • On initial populations of a genetic algorithm for continuous optimization problems

    Heikki Maaranen;Kaisa Miettinen;Antti Penttinen

  • Quasi-random initial population for genetic algorithms

    H. Maaranen;K. Miettinen;M. M. Mäkelä

  • Interactive bundle-based method for nondifferentiable multiobjeective optimization: nimbus §

    K. Miettinen;M.M. Mäkelä

  • Visualizing the Pareto Frontier

    Alexander V. Lotov;Kaisa Miettinen

  • Interactive multiobjective optimization system WWW-NIMBUS on the internet

    Kaisa Miettinen;Marko M Mäkelä

  • Survey of methods to visualize alternatives in multiple criteria decision making problems

    Kaisa Miettinen

  • Some Methods for Nonlinear Multi-objective Optimization

    Kaisa Miettinen

  • New limited memory bundle method for large-scale nonsmooth optimization

    Marjo S. Haarala;Kaisa Miettinen;Marko M. Mäkelä

Frequent Co-Authors

Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Yaochu Jin
Yaochu Jin Westlake University
Risto Lahdelma
Risto Lahdelma Aalto University
Kathrin Klamroth
Kathrin Klamroth University of Wuppertal
Jürgen Branke
Jürgen Branke University of Warwick
Antonio J. Nebro
Antonio J. Nebro University of Malaga
Eckart Zitzler
Eckart Zitzler Lucerne University of Applied Sciences and Arts
Salvatore Greco
Salvatore Greco University of Portsmouth
Ralph E. Steuer
Ralph E. Steuer University of Georgia
Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can open diverse career opportunities in finance, business, and marketing. For instance, many graduates pursue a masters in finance online programs to build strong quantitative and analytical skills applicable in financial sectors.

Those interested in leadership and management roles often consider an MBA. Accelerated options such as fastest mba programs online and 1 year mba programs enable professionals to gain expertise efficiently without significant career disruption.

Another rising field is digital marketing, where mathematics skills around data analysis prove invaluable. Students aiming to specialize may look into affordable options like an ms in digital marketing degree cost tuition fees to balance investment and career growth.

Overall, these online degrees complement a mathematics background and provide flexible pathways toward lucrative and dynamic careers.

Best Scientists Citing Kaisa Miettinen

Trending Scientists

Recently Published Articles