Multi objective optimization techniques engineering di tartibu lagouge (17 risultati)

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Hardcover. Condizione: new. Hardcover. This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, hands-on guide for engineers, researchers, and student…s seeking to harness the power of optimization in diverse, real-world scenarios.Through expertly crafted chapters, this book illuminates the strengths of state-of-the-art metaheuristic algorithmssuch as the Harris hawk optimization, whale optimization, gray wolf optimization, sunflower optimization, imperialistic competitive optimization, jaya optimization, thermal exchange optimization, grasshopper optimization, and cuckoo search optimization. These algorithms tackle complex, high-dimensional challenges, giving readers invaluable tools to boost performance and efficiency. Case studies breathe life into these methods, showcasing their adaptability in systems with multiple conflicting objectives.Readers will find practical MATLAB and GAMS models, enabling immediate experimentation and application. In an era where efficiency and sustainability are paramount, this book equips engineers to solve todays toughest optimization problems, making it an indispensable resource for those committed to innovation. Whether focused on energy systems, structural design, or computational mechanics, this book serves as a trusted guide to achieving breakthrough solutions across multiple disciplines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, hands-on guide fo…r engineers, researchers, and students seeking to harness the power of optimization in diverse, real-world scenarios.Through expertly crafted chapters, this book illuminates the strengths of state-of-the-art metaheuristic algorithms-such as the Harris hawk optimization, whale optimization, gray wolf optimization, sunflower optimization, imperialistic competitive optimization, jaya optimization, thermal exchange optimization, grasshopper optimization, and cuckoo search optimization. These algorithms tackle complex, high-dimensional challenges, giving readers invaluable tools to boost performance and efficiency. Case studies breathe life into these methods, showcasing their adaptability in systems with multiple conflicting objectives.Readers will find practical MATLAB and GAMS models, enabling immediate experimentation and application. In an era where efficiency and sustainability are paramount, this book equips engineers to solve today's toughest optimization problems, making it an indispensable resource for those committed to innovation. Whether focused on energy systems, structural design, or computational mechanics, this book serves as a trusted guide to achieving breakthrough solutions across multiple disciplines.

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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 556 pages. 9.25x6.10x9.21 inches. In Stock.

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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condizione: new. Hardcover. This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, hands-on guide for engineers, researchers, and student…s seeking to harness the power of optimization in diverse, real-world scenarios.Through expertly crafted chapters, this book illuminates the strengths of state-of-the-art metaheuristic algorithmssuch as the Harris hawk optimization, whale optimization, gray wolf optimization, sunflower optimization, imperialistic competitive optimization, jaya optimization, thermal exchange optimization, grasshopper optimization, and cuckoo search optimization. These algorithms tackle complex, high-dimensional challenges, giving readers invaluable tools to boost performance and efficiency. Case studies breathe life into these methods, showcasing their adaptability in systems with multiple conflicting objectives.Readers will find practical MATLAB and GAMS models, enabling immediate experimentation and application. In an era where efficiency and sustainability are paramount, this book equips engineers to solve todays toughest optimization problems, making it an indispensable resource for those committed to innovation. Whether focused on energy systems, structural design, or computational mechanics, this book serves as a trusted guide to achieving breakthrough solutions across multiple disciplines. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 556 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.

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Da: moluna, Greven, , Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, h…ands-on guide for engineers, researchers, and students seeking to harness the power of optimization in diverse, real-world scenarios.Through expertly crafted chapters, this book illuminates the strengths of state-of-the-art metaheuristic algorithms-such as the Harris hawk optimization, whale optimization, gray wolf optimization, sunflower optimization, imperialistic competitive optimization, jaya optimization, thermal exchange optimization, grasshopper optimization, and cuckoo search optimization. These algorithms tackle complex, high-dimensional challenges, giving readers invaluable tools to boost performance and efficiency. Case studies breathe life into these methods, showcasing their adaptability in systems with multiple conflicting objectives.Readers will find practical MATLAB and GAMS models, enabling immediate experimentation and application. In an era where efficiency and sustainability are paramount, this book equips engineers to solve today's toughest optimization problems, making it an indispensable resource for those committed to innovation. Whether focused on energy systems, structural design, or computational mechanics, this book serves as a trusted guide to achieving breakthrough solutions across multiple disciplines. 560 pp. Englisch.

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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Condizione: New. Print on Demand.

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 246,09
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, hands…-on guide for engineers, researchers, and students seeking to harness the power of optimization in diverse, real-world scenarios.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 560 pp. Englisch.

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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.