Development and Optimization of Mathematical Models for Operations Research
The development of mathematical models and their optimization are fundamental for the effective resolution of many problems in operational research. In recent years, increased insights into real-world problems have led to the development of new mathematical models and optimization algorithms, contri...
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| Định dạng: | Online |
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| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20230405_9783036568904_174 |
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| _version_ | 1869526434686435328 |
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| collection | Directory of Open Access Books |
| description | The development of mathematical models and their optimization are fundamental for the effective resolution of many problems in operational research. In recent years, increased insights into real-world problems have led to the development of new mathematical models and optimization algorithms, contributing to the development of a research area with increasing practical relevance. This Special Issue is dedicated to works at the interface of mathematical modeling, optimization, and operations research, with a special focus on their real-world applications. The interest of the scientific community was significant, with submissions from authors from different countries from five continents, including Australia, China, Egypt, India, Israel, Portugal, Russia, Saudi Arabia, and the United States of America. Ten papers were accepted for publication after thorough peer review by dedicated reviewers with expertise in the relevant fields. We are confident that the papers selected for this Special Issue will attract a significant audience in the scientific community and will further stimulate research involving the development of mathematical models and their optimization. |
| format | Online |
| id | doab-20.500.12854ir-98895 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-988952024-03-28T03:32:25Z Development and Optimization of Mathematical Models for Operations Research Rocha, Humberto Rocha, Ana Maria multi-time generalized Nash equilibrium problem projected dynamical system river basin pollution problem traffic network equilibrium problem variational inequality problem freight transportation heavy-haul railway combination scheme train timetable genetic algorithm trapezoidal type demand interval-valued inventory costs deterioration preservation technology QPSO algorithms mixed integer nonlinear programming piecewise linear approximation branch and bound pairwise comparison matrix approximation log-Chebyshev metric tropical optimization consumer preference hotel selection partial trade credit cash discount deteriorating items EOQ COVID-19 metaheuristics project selection portfolio management resource R&D roadmap program management scheduling unrelated parallel machines sequence-dependent tasks makespan statistical analysis global optimization unconstrained minimization numerical approximations of gradients meta-heuristics stochastic parameters conjugate gradient methods efficient algorithm performance profiles comparisons testing discrete optimization dragonfly algorithm optimization swarm intelligence algorithms traveling salesman problem thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science The development of mathematical models and their optimization are fundamental for the effective resolution of many problems in operational research. In recent years, increased insights into real-world problems have led to the development of new mathematical models and optimization algorithms, contributing to the development of a research area with increasing practical relevance. This Special Issue is dedicated to works at the interface of mathematical modeling, optimization, and operations research, with a special focus on their real-world applications. The interest of the scientific community was significant, with submissions from authors from different countries from five continents, including Australia, China, Egypt, India, Israel, Portugal, Russia, Saudi Arabia, and the United States of America. Ten papers were accepted for publication after thorough peer review by dedicated reviewers with expertise in the relevant fields. We are confident that the papers selected for this Special Issue will attract a significant audience in the scientific community and will further stimulate research involving the development of mathematical models and their optimization. 2023-04-05T12:57:44Z 2023-04-05T12:57:44Z 2023 book ONIX_20230405_9783036568904_174 9783036568904 9783036568911 https://directory.doabooks.org/handle/20.500.12854/98895 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/6948 https://mdpi.com/books/pdfview/book/6948 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6891-1 10.3390/books978-3-0365-6891-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036568904 9783036568911 260 Basel open access |
| spellingShingle | multi-time generalized Nash equilibrium problem projected dynamical system river basin pollution problem traffic network equilibrium problem variational inequality problem freight transportation heavy-haul railway combination scheme train timetable genetic algorithm trapezoidal type demand interval-valued inventory costs deterioration preservation technology QPSO algorithms mixed integer nonlinear programming piecewise linear approximation branch and bound pairwise comparison matrix approximation log-Chebyshev metric tropical optimization consumer preference hotel selection partial trade credit cash discount deteriorating items EOQ COVID-19 metaheuristics project selection portfolio management resource R&D roadmap program management scheduling unrelated parallel machines sequence-dependent tasks makespan statistical analysis global optimization unconstrained minimization numerical approximations of gradients meta-heuristics stochastic parameters conjugate gradient methods efficient algorithm performance profiles comparisons testing discrete optimization dragonfly algorithm optimization swarm intelligence algorithms traveling salesman problem thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Development and Optimization of Mathematical Models for Operations Research |
| title | Development and Optimization of Mathematical Models for Operations Research |
| title_full | Development and Optimization of Mathematical Models for Operations Research |
| title_fullStr | Development and Optimization of Mathematical Models for Operations Research |
| title_full_unstemmed | Development and Optimization of Mathematical Models for Operations Research |
| title_short | Development and Optimization of Mathematical Models for Operations Research |
| title_sort | development and optimization of mathematical models for operations research |
| topic | multi-time generalized Nash equilibrium problem projected dynamical system river basin pollution problem traffic network equilibrium problem variational inequality problem freight transportation heavy-haul railway combination scheme train timetable genetic algorithm trapezoidal type demand interval-valued inventory costs deterioration preservation technology QPSO algorithms mixed integer nonlinear programming piecewise linear approximation branch and bound pairwise comparison matrix approximation log-Chebyshev metric tropical optimization consumer preference hotel selection partial trade credit cash discount deteriorating items EOQ COVID-19 metaheuristics project selection portfolio management resource R&D roadmap program management scheduling unrelated parallel machines sequence-dependent tasks makespan statistical analysis global optimization unconstrained minimization numerical approximations of gradients meta-heuristics stochastic parameters conjugate gradient methods efficient algorithm performance profiles comparisons testing discrete optimization dragonfly algorithm optimization swarm intelligence algorithms traveling salesman problem thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | multi-time generalized Nash equilibrium problem projected dynamical system river basin pollution problem traffic network equilibrium problem variational inequality problem freight transportation heavy-haul railway combination scheme train timetable genetic algorithm trapezoidal type demand interval-valued inventory costs deterioration preservation technology QPSO algorithms mixed integer nonlinear programming piecewise linear approximation branch and bound pairwise comparison matrix approximation log-Chebyshev metric tropical optimization consumer preference hotel selection partial trade credit cash discount deteriorating items EOQ COVID-19 metaheuristics project selection portfolio management resource R&D roadmap program management scheduling unrelated parallel machines sequence-dependent tasks makespan statistical analysis global optimization unconstrained minimization numerical approximations of gradients meta-heuristics stochastic parameters conjugate gradient methods efficient algorithm performance profiles comparisons testing discrete optimization dragonfly algorithm optimization swarm intelligence algorithms traveling salesman problem thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20230405_9783036568904_174 |