Desirability-based post-hoc selection of Pareto solutions-Reference-Cited by-同舟云学术

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Desirability-based post-hoc selection of Pareto solutions

Published:2024-01-31 Issue: Volume: Page:1-10
ISSN:1750-9653
Container-title:International Journal of Management Science and Engineering Management
language:en
Short-container-title:International Journal of Management Science and Engineering Management

Author:

Costa Nuno¹^ORCID,Lourenço João¹^ORCID

Affiliation:

1. Instituto Politécnico de Setúbal, ESTSetúbal; Campus do IPS, Estefanilha, Setúbal, Portugal

Publisher

Informa UK Limited

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management,Mechanical Engineering,Engineering (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/17509653.2023.2296876

Reference44 articles.

1. Hybrid evolutionary multi-objective optimization algorithm for helping multi-criterion decision makers;Abouhawwash M.;International Journal of Management Science & Engineering Management,2021

2. A solution framework for response surface-based multiple quality characteristics optimization;Bera S.;International Journal of Reliability, Quality and Safety Engineering,2018

3. An integrated production–distribution optimization model for multinational manufacturing corporations

4. The efficacy of utility functions for multicriteria hospital case‐mix planning

5. Incorporating response variability and estimation uncertainty into Pareto front optimization;Chapman J.;Computers & Industrial Engineering

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