Special Issue on Algorithms and Models for Dynamic Multiple Criteria Decision Making
The authors proposed an extension of the Nelder–Mead simplex search algorithm to complete the matrix optimally by minimizing a maximum eigenvalue function subject to interval constraints and illustrating its applicability through several numerical simulations. The authors developed a multi-objective...
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| Published in | Algorithms Vol. 14; no. 8; p. 233 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.08.2021
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1999-4893 1999-4893 |
| DOI | 10.3390/a14080233 |
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| Abstract | The authors proposed an extension of the Nelder–Mead simplex search algorithm to complete the matrix optimally by minimizing a maximum eigenvalue function subject to interval constraints and illustrating its applicability through several numerical simulations. The authors developed a multi-objective optimization methodology that implemented a genetic algorithm together with a set of parametric models designed to identify the best configuration that minimized interface loads, improving the efficiency of the deployment and configuration systems, while increasing the payload and reducing service costs. [...]we would like to thank Alina Chen and the editorial office of the journal for their efficient assistance in the publishing process. |
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| AbstractList | The authors proposed an extension of the Nelder–Mead simplex search algorithm to complete the matrix optimally by minimizing a maximum eigenvalue function subject to interval constraints and illustrating its applicability through several numerical simulations. The authors developed a multi-objective optimization methodology that implemented a genetic algorithm together with a set of parametric models designed to identify the best configuration that minimized interface loads, improving the efficiency of the deployment and configuration systems, while increasing the payload and reducing service costs. [...]we would like to thank Alina Chen and the editorial office of the journal for their efficient assistance in the publishing process. The current Special Issue contains six papers focused on Multiple Criteria Decision Making (MCDM) problems and the formal techniques applied to derive consistent rankings of them [...] |
| Author | Di Caprio, Debora Santos Arteaga, Francisco Javier |
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| Cites_doi | 10.3390/a14040111 10.3390/a14070217 10.3390/a14080222 10.3390/a14050140 10.3390/a14020064 10.3390/a14050141 |
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| Copyright | 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Snippet | The current Special Issue contains six papers focused on Multiple Criteria Decision Making (MCDM) problems and the formal techniques applied to derive... The authors proposed an extension of the Nelder–Mead simplex search algorithm to complete the matrix optimally by minimizing a maximum eigenvalue function... |
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| SubjectTerms | Algorithms Case studies Configurations Conflicts of interest Data envelopment analysis Decision making Design Eigenvalues Genetic algorithms Mathematical models Methods Multiple criteria decision making Multiple criterion Multiple objective analysis n/a Optimization Search algorithms |
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| Title | Special Issue on Algorithms and Models for Dynamic Multiple Criteria Decision Making |
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