B1 Non-refereed journal articles
Multiobjective optimization and decision making in engineering sciences (2021)

Hakanen, J., & Allmendinger, R. (2021). Multiobjective optimization and decision making in engineering sciences. In J. Hakanen, & R. Allmendinger (Eds.), Optimization and Engineering, Vol. 22 (2). Special Issue on “Multiobjective optimization and decision making in engineering sciences” (22, pp. 1031-1037). Springer. Optimization and Engineering. https://doi.org/10.1007/s11081-021-09627-x

JYU authors or editors

Publication details

All authors or editors: Hakanen, Jussi; Allmendinger, Richard

Parent publication: Optimization and Engineering, Vol. 22 (2). Special Issue on “Multiobjective optimization and decision making in engineering sciences”

Parent publication editors: Hakanen, Jussi; Allmendinger, Richard

Journal or series: Optimization and Engineering

ISSN: 1389-4420

eISSN: 1573-2924

Publication year: 2021

Publication date: 11/04/2021

Volume: 22

Issue number: 2

Pages range: 1031-1037

Publisher: Springer

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1007/s11081-021-09627-x

Persistent website address: https://www.springer.com/journal/11081

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/75080

Additional information: Editorial. This special issue was motivated by the 25th International Conference on Multiple Criteria Decision Making (MCDM2019) held in Istanbul, Turkey, in 2019.

Abstract

Real-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and environmental aspects increases the complexity of decision making and leads to problems that feature multiple competing criteria. A key challenge in such problems is the identification of the most preferred trade-off solution(s) with respect to the competing criteria. Therefore, the effective combination of data, skills, and advanced engineering and management technologies is becoming a key asset to a company urging the need to rethink how to tackle modern decision making problems. This special issue focuses on the intersection between engineering, multiple criteria decision making, multiobjective optimization, and data science. The development of new models and algorithmic methods to solve such problems is in the focus as much as the application of these concepts to real problems. This special issue was motivated by the 25th International Conference on Multiple Criteria Decision Making (MCDM2019) held in Istanbul, Turkey, in 2019.

Keywords: optimisation; multi-objective optimisation; decision support systems; technical sciences; data science

Free keywords: multiple criteria decision making; evolutionary multiobjective optimization; expensive optimization; engineering sciences; data science

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2021