Advanced optimization applications in engineering:
In the ever-evolving landscape of engineering, a pressing challenge looms large-the need to navigate the complexities of modern problems with precision and efficiency. As industries grapple with an array of intricate issues, from sustainable materials to resilient infrastructure, the demand for opti...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 URL des Erstveröffentlichers |
| Zusammenfassung: | In the ever-evolving landscape of engineering, a pressing challenge looms large-the need to navigate the complexities of modern problems with precision and efficiency. As industries grapple with an array of intricate issues, from sustainable materials to resilient infrastructure, the demand for optimal solutions has never been more pronounced. Traditional approaches are often inadequate, prompting the search for advanced optimization techniques capable of unraveling the intricacies inherent in engineering systems. The problem at hand is clear: how can engineers, researchers, and practitioners harness cutting-edge methodologies to address the multifaceted challenges shaping our technological future?Advanced Optimization Applications in Engineering, is a definitive guide poised to revolutionize problem-solving in civil engineering. This book offers a comprehensive exploration of state-of-the-art optimization algorithms and their transformative applications. By delving into genetic algorithms, particle swarm optimization, neural networks, and other metaheuristic strategies, this collection provides a roadmap for automating design processes, reducing costs, and unlocking innovative solutions. The chapters not only introduce these advanced techniques but also showcase their practical implementation across diverse engineering domains, making this book an indispensable resource for those seeking to stay at the forefront of technological advancements. |
| Beschreibung: | 1 Online-Ressource (295 Seiten) |
| ISBN: | 9798369321621 |
| DOI: | 10.4018/979-8-3693-2161-4 |
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| 520 | |a In the ever-evolving landscape of engineering, a pressing challenge looms large-the need to navigate the complexities of modern problems with precision and efficiency. As industries grapple with an array of intricate issues, from sustainable materials to resilient infrastructure, the demand for optimal solutions has never been more pronounced. Traditional approaches are often inadequate, prompting the search for advanced optimization techniques capable of unraveling the intricacies inherent in engineering systems. The problem at hand is clear: how can engineers, researchers, and practitioners harness cutting-edge methodologies to address the multifaceted challenges shaping our technological future?Advanced Optimization Applications in Engineering, is a definitive guide poised to revolutionize problem-solving in civil engineering. This book offers a comprehensive exploration of state-of-the-art optimization algorithms and their transformative applications. By delving into genetic algorithms, particle swarm optimization, neural networks, and other metaheuristic strategies, this collection provides a roadmap for automating design processes, reducing costs, and unlocking innovative solutions. The chapters not only introduce these advanced techniques but also showcase their practical implementation across diverse engineering domains, making this book an indispensable resource for those seeking to stay at the forefront of technological advancements. | ||
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| discipline | Informatik Wirtschaftswissenschaften |
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| id | DE-604.BV049817732 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-17T19:01:36Z |
| institution | BVB |
| isbn | 9798369321621 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035157971 |
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| physical | 1 Online-Ressource (295 Seiten) |
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| spelling | Advanced optimization applications in engineering Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (295 Seiten) txt rdacontent c rdamedia cr rdacarrier In the ever-evolving landscape of engineering, a pressing challenge looms large-the need to navigate the complexities of modern problems with precision and efficiency. As industries grapple with an array of intricate issues, from sustainable materials to resilient infrastructure, the demand for optimal solutions has never been more pronounced. Traditional approaches are often inadequate, prompting the search for advanced optimization techniques capable of unraveling the intricacies inherent in engineering systems. The problem at hand is clear: how can engineers, researchers, and practitioners harness cutting-edge methodologies to address the multifaceted challenges shaping our technological future?Advanced Optimization Applications in Engineering, is a definitive guide poised to revolutionize problem-solving in civil engineering. This book offers a comprehensive exploration of state-of-the-art optimization algorithms and their transformative applications. By delving into genetic algorithms, particle swarm optimization, neural networks, and other metaheuristic strategies, this collection provides a roadmap for automating design processes, reducing costs, and unlocking innovative solutions. The chapters not only introduce these advanced techniques but also showcase their practical implementation across diverse engineering domains, making this book an indispensable resource for those seeking to stay at the forefront of technological advancements. Engineering mathematics Mathematical optimization Ahmad, Afaq edt Camp, C. V. 1958- edt Erscheint auch als Druck-Ausgabe 9798369321614 https://doi.org/10.4018/979-8-3693-2161-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Advanced optimization applications in engineering Engineering mathematics Mathematical optimization |
| title | Advanced optimization applications in engineering |
| title_auth | Advanced optimization applications in engineering |
| title_exact_search | Advanced optimization applications in engineering |
| title_full | Advanced optimization applications in engineering |
| title_fullStr | Advanced optimization applications in engineering |
| title_full_unstemmed | Advanced optimization applications in engineering |
| title_short | Advanced optimization applications in engineering |
| title_sort | advanced optimization applications in engineering |
| topic | Engineering mathematics Mathematical optimization |
| topic_facet | Engineering mathematics Mathematical optimization |
| url | https://doi.org/10.4018/979-8-3693-2161-4 |
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