Decision Science Theory Applications (70 results)

hardcover. Condition: Good. Dust Jacket Condition: Good. Minor signs of age to book, dust jacket has wear around the edges. No markings.

VII, 276 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Asset Analytics, Performance and Safety Management. Sprache: Englisch.

paperback. Condition: Fine.

Condition: Gebraucht / Used. 1978. Or.cloth. xxiii,446pp. 8°. Index.

8°, original cloth binding. 1st ed., 2 vols. XXII, XXIII, 446, 208 p. Shelfmark, stamped, otherwise very fine copy. Sprache: Englisch Gewicht in Gramm: 0.

Condition: New.

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

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Condition: As New. Unread book in perfect condition.

hardcover. Condition: Very Good. Dust Jacket Condition: Very Good. A very good hardcover in a very good dust jacket. No markings.

Condition: New.

Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Condition: New. Softcover reprint of the original 1st ed. 2019 edition NO-PA16APR2015-KAP.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their complex nature, it is not always possible to solve them using conventional optimization theory. Accordingly, the book discusses the design and applications of non-conventional numerical optimization techniques, including the design of benchmark functions and the implementation of these techniques to solve real-world optimization problems. The book's twenty chapters examine various interesting research topics in this area, including: Pi fraction-based optimization of the Pantoja-Bretones-Martin (PBM) antenna benchmarks; benchmark function generators for single-objective robust optimization algorithms; convergence of gravitational search algorithms on linear and quadratic functions; and an algorithm for the multi-variant evolutionary synthesis of nonlinear models with real-valued chromosomes. Delivering on its promise to explore real-world scenarios, the book also addresses the seismic analysis of a multi-story building with optimized damper properties; the application of constrained spider monkey optimization to solve portfolio optimization problems; the effect of upper body motion on a bipedal robot's stability; an ant colony algorithm for routing alternate-fuel vehicles in multi-depot vehicle routing problems; enhanced fractal dimension-based feature extraction for thermal face recognition; and an artificial bee colony-based hyper-heuristic for the single machine order acceptance and scheduling problem. The book will benefit not only researchers, but also organizations active in such varied fields as Aerospace, Automotive, Biotechnology, Consumer Packaged Goods, Electronics, Finance, Business & Banking, Oil, Gas & Geosciences, and Pharma, to name a few.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their complex nature, it is not always possible to solve them using conventional optimization theory. Accordingly, the book discusses the design and applications of non-conventional numerical optimization techniques, including the design of benchmark functions and the implementation of these techniques to solve real-world optimization problems. The book's twenty chapters examine various interesting research topics in this area, including: Pi fraction-based optimization of the Pantoja-Bretones-Martin (PBM) antenna benchmarks; benchmark function generators for single-objective robust optimization algorithms; convergence of gravitational search algorithms on linear and quadratic functions; and an algorithm for the multi-variant evolutionary synthesis of nonlinear models with real-valued chromosomes. Delivering on its promise to explore real-world scenarios, the book also addresses the seismic analysis of a multi-story building with optimized damper properties; the application of constrained spider monkey optimization to solve portfolio optimization problems; the effect of upper body motion on a bipedal robot's stability; an ant colony algorithm for routing alternate-fuel vehicles in multi-depot vehicle routing problems; enhanced fractal dimension-based feature extraction for thermal face recognition; and an artificial bee colony-based hyper-heuristic for the single machine order acceptance and scheduling problem. The book will benefit not only researchers, but also organizations active in such varied fields as Aerospace, Automotive, Biotechnology, Consumer Packaged Goods, Electronics, Finance, Business & Banking, Oil, Gas & Geosciences, and Pharma, to name a few.…

Condition: New.

Taschenbuch. Condition: Neu. Decision Science in Action | Theory and Applications of Modern Decision Analytic Optimisation | Kusum Deep (u. a.) | Taschenbuch | Asset Analytics | vii | Englisch | 2019 | Springer | EAN 9789811345203 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Hardcover. Condition: Brand New. 276 pages. 9.25x6.25x0.75 inches. In Stock.

Taschenbuch. Condition: Neu. Neuware - Decision Science is the discipline that is concerned with the development and applications of quantitative methods and techniques to support decision making processes. This book discusses the general principles of often used optimisation techniques such as Linear Programming, Integer Programming, Dynamic Programming, Non-linear Programming, Network Theory and Simulation. It aims to fill the gap between theory and practice. It especially discusses the theoretical background of important quantitative methods and techniques as well as how they can be applied to practical decision making problems. Therefore the modelling process is illustrated with examples of corporate firms, consumers, governments and other non-profit organizations. Decision science: theory and application is a thoroughly revised edition of two former Dutch versions. The authors have used their extensive didactical experience to find a proper balance between mathematical exactness, knowledge and readability on the one hand and understanding, insights and applicability of the subjects on the other hand. Virtually every topic in the text is illustrated by small, class-tested, numerical examples, exercises and graphical illustrations. This edition contains more than 160 figures. The book is therefore an elemental asset in introductory courses on decision science. It is addressed to undergraduates, postgraduates and research students.…

hardcover. Condition: Gut. 268 Seiten; 9780792301943.3 Gewicht in Gramm: 1.

Condition: New.