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Multiobjective optimization and decision making in engineering sciences

Year of publication

2021

Authors

Hakanen, Jussi; Allmendinger, Richard

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.
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Organizations and authors

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Other article

Audience

Scientific

Peer-reviewed

Non Peer-Reviewed

MINEDU's publication type classification code

B1 Non-refereed journal articles

Publication channel information

Parent publication editors

Hakanen, Jussi; Allmendinger, Richard

Publisher

Springer

Volume

22

Issue

2

Pages

1031-1037

​Publication forum

64462

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

United States

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1007/s11081-021-09627-x

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes