Mathematical Optimization and Evolutionary Algorithms with Applications
Optimization is present almost everywhere in real life, resulting in a wide spectrum of scientific and engineering areas with applications that can be formalized as optimization problems. This feature has fostered the development of research studies aiming to design and implement efficient optimizat...
Furkejuvvon:
| Materiálatiipa: | Online |
|---|---|
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Fáttát: | |
| Liŋkkat: | ONIX_20230808_9783036579788_69 |
| Fáddágilkorat: |
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| _version_ | 1869531399328890880 |
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| collection | Directory of Open Access Books |
| description | Optimization is present almost everywhere in real life, resulting in a wide spectrum of scientific and engineering areas with applications that can be formalized as optimization problems. This feature has fostered the development of research studies aiming to design and implement efficient optimization methods able to address the increasing complexity of applications that are intended to be solved. These studies are typically divided into two areas: one focuses on the theoretical development of advanced solution strategies through the perspective of tackling problems of increasing complexity; another toward developing problem-devoted techniques that aim to efficiently find high-quality solutions to specific applications drawn from a wide spectrum of areas (engineering, social sciences, biotechnologies, finances, etc.). The articles included in this reprint illustrate both types of studies. The reprint is a collection of all the articles accepted and published in the Special Issue titled "Mathematical Optimization and Evolutionary Algorithms with Applications” of the journal Mathematics. We hope that readers will benefit from the insights provided by these papers and contribute to the fast-paced growth of these areas. We also hope that the resulting mixture of methods, algorithms and applications for the treatment of complex optimization problems presented in this Special Issue, either through mathematical tools or metaheuristic algorithms, contributes to the development of research in this area. |
| format | Online |
| id | doab-20.500.12854ir-112563 |
| 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-1125632024-03-30T12:51:30Z Mathematical Optimization and Evolutionary Algorithms with Applications Ponsich, Antonin Vila Bonilla, Mariona Domenech, Bruno mathematical optimization multi-objective problems multi-criteria optimization multi-scale optimization optimization of stochastic systems fuzzy optimization constrained optimization evolutionary algorithms heuristic algorithms differential evolution mathematical programming scheduling problems operations management recommendation systems applications in engineering, energies, materials, management, etc. thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Optimization is present almost everywhere in real life, resulting in a wide spectrum of scientific and engineering areas with applications that can be formalized as optimization problems. This feature has fostered the development of research studies aiming to design and implement efficient optimization methods able to address the increasing complexity of applications that are intended to be solved. These studies are typically divided into two areas: one focuses on the theoretical development of advanced solution strategies through the perspective of tackling problems of increasing complexity; another toward developing problem-devoted techniques that aim to efficiently find high-quality solutions to specific applications drawn from a wide spectrum of areas (engineering, social sciences, biotechnologies, finances, etc.). The articles included in this reprint illustrate both types of studies. The reprint is a collection of all the articles accepted and published in the Special Issue titled "Mathematical Optimization and Evolutionary Algorithms with Applications” of the journal Mathematics. We hope that readers will benefit from the insights provided by these papers and contribute to the fast-paced growth of these areas. We also hope that the resulting mixture of methods, algorithms and applications for the treatment of complex optimization problems presented in this Special Issue, either through mathematical tools or metaheuristic algorithms, contributes to the development of research in this area. 2023-08-08T15:27:46Z 2023-08-08T15:27:46Z 2023 book ONIX_20230808_9783036579788_69 9783036579788 9783036579795 https://directory.doabooks.org/handle/20.500.12854/112563 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7689 https://mdpi.com/books/pdfview/book/7689 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7979-5 10.3390/books978-3-0365-7979-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036579788 9783036579795 384 Basel open access |
| spellingShingle | mathematical optimization multi-objective problems multi-criteria optimization multi-scale optimization optimization of stochastic systems fuzzy optimization constrained optimization evolutionary algorithms heuristic algorithms differential evolution mathematical programming scheduling problems operations management recommendation systems applications in engineering, energies, materials, management, etc. thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Mathematical Optimization and Evolutionary Algorithms with Applications |
| title | Mathematical Optimization and Evolutionary Algorithms with Applications |
| title_full | Mathematical Optimization and Evolutionary Algorithms with Applications |
| title_fullStr | Mathematical Optimization and Evolutionary Algorithms with Applications |
| title_full_unstemmed | Mathematical Optimization and Evolutionary Algorithms with Applications |
| title_short | Mathematical Optimization and Evolutionary Algorithms with Applications |
| title_sort | mathematical optimization and evolutionary algorithms with applications |
| topic | mathematical optimization multi-objective problems multi-criteria optimization multi-scale optimization optimization of stochastic systems fuzzy optimization constrained optimization evolutionary algorithms heuristic algorithms differential evolution mathematical programming scheduling problems operations management recommendation systems applications in engineering, energies, materials, management, etc. thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | mathematical optimization multi-objective problems multi-criteria optimization multi-scale optimization optimization of stochastic systems fuzzy optimization constrained optimization evolutionary algorithms heuristic algorithms differential evolution mathematical programming scheduling problems operations management recommendation systems applications in engineering, energies, materials, management, etc. thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20230808_9783036579788_69 |