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In den WarenkorbHardcover. Zustand: Très bon. Ancien livre de bibliothèque. Edition 1999. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Handbook of Global Optimization (Nonconvex Optimization and Its Applications)
Anbieter: Alexander Books (ABAC/ILAB), Ancaster, ON, Kanada
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Hardcover. Zustand: Very Good. 880 Pages Usual Ex-Lib Marks O/W Sound.
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Differential Evolution A Handbook For Global Permutation Based Combinatorial Optimization (Hb 2009)
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Differential Evolution: A Handbook For Global Permutation-Based Combinatorial Optimization (Hb)
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Zustand: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization (Studies in Computational Intelligence, 175)
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Handbook of Global Optimization (Nonconvex Optimization and Its Applications)
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Zustand: Gut. Auflage: 1995. 898 Seiten Exemplar aus einer wissenchaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 1494 25,4 x 17,8 x 5,7 cm, Gebundene Ausgabe.
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Internationale AusgabeDIFFERENTIAL EVOLUTION A HANDBOOK FOR GLOBAL PERMUTATION BASED COMBINATORIAL OPTIMIZATION (HB 2009)
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In den WarenkorbZustand: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Differential Evolution: A Handbook For Global Permutation-based Combinatorial Optimization
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Differential Evolution: A Handbook For Global Permutation-based Combinatorial Optimization
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization (Studies in Computational Intelligence, 175)
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization (Studies in Computational Intelligence, 175)
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization (Studies in Computational Intelligence, 175)
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization (Studies in Computational Intelligence, 175)
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization (Studies in Computational Intelligence, 175)
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization (Studies in Computational Intelligence, 175)
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization (Studies in Computational Intelligence, 175)
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Differential Evolution: A Handbook for Global Permutation-based Combinatorial Optimization
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 232 pages. 9.25x6.10x0.53 inches. In Stock.
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Differential Evolution: A Handbook for Global Permutation-based Combinatorial Optimization
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In den WarenkorbHardcover. Zustand: Brand New. hardback/cd-rom edition. 211 pages. 9.50x6.50x0.50 inches. In Stock.
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2017, 2017
ISBN 10: 3662518929 ISBN 13: 9783662518922
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. Neuware -What is combinatorial optimization Traditionally, a problem is considered to be c- binatorial if its set of feasible solutions is both nite and discrete, i. e. , enumerable. For example, the traveling salesman problem asks in what order a salesman should visit the cities in his territory if he wants to minimize his total mileage (see Sect. 2. 2. 2). The traveling salesman problem¿s feasible solutions - permutations of city labels - c- prise a nite, discrete set. By contrast, Differential Evolution was originally designed to optimize functions de ned on real spaces. Unlike combinatorial problems, the set of feasible solutions for real parameter optimization is continuous. Although Differential Evolution operates internally with oating-point precision, it has been applied with success to many numerical optimization problems that have t- ditionally been classi ed as combinatorial because their feasible sets are discrete. For example, the knapsack problem¿s goal is to pack objects of differing weight and value so that the knapsack¿s total weight is less than a given maximum and the value of the items inside is maximized (see Sect. 2. 2. 1). The set of feasible solutions - vectors whose components are nonnegative integers - is both numerical and discrete. To handle such problems while retaining full precision, Differential Evolution copies oating-point - lutions to a temporary vector that, prior to being evaluated, is truncated to the nearest feasible solution, e. g. , by rounding the temporary parameters to the nearest nonnegative integer.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2017
ISBN 10: 3662518929 ISBN 13: 9783662518922
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - What is combinatorial optimization Traditionally, a problem is considered to be c- binatorial if its set of feasible solutions is both nite and discrete, i. e. , enumerable. For example, the traveling salesman problem asks in what order a salesman should visit the cities in his territory if he wants to minimize his total mileage (see Sect. 2. 2. 2). The traveling salesman problem's feasible solutions - permutations of city labels - c- prise a nite, discrete set. By contrast, Differential Evolution was originally designed to optimize functions de ned on real spaces. Unlike combinatorial problems, the set of feasible solutions for real parameter optimization is continuous. Although Differential Evolution operates internally with oating-point precision, it has been applied with success to many numerical optimization problems that have t- ditionally been classi ed as combinatorial because their feasible sets are discrete. For example, the knapsack problem's goal is to pack objects of differing weight and value so that the knapsack's total weight is less than a given maximum and the value of the items inside is maximized (see Sect. 2. 2. 1). The set of feasible solutions - vectors whose components are nonnegative integers - is both numerical and discrete. To handle such problems while retaining full precision, Differential Evolution copies oating-point - lutions to a temporary vector that, prior to being evaluated, is truncated to the nearest feasible solution, e. g. , by rounding the temporary parameters to the nearest nonnegative integer.
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization : A Handbook for Global Permutation-Based Combinatorial Optimization
Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2009
ISBN 10: 3540921508 ISBN 13: 9783540921509
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Sonstige Video. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - What is combinatorial optimization Traditionally, a problem is considered to be c- binatorial if its set of feasible solutions is both nite and discrete, i. e. , enumerable. For example, the traveling salesman problem asks in what order a salesman should visit the cities in his territory if he wants to minimize his total mileage (see Sect. 2. 2. 2). The traveling salesman problem's feasible solutions - permutations of city labels - c- prise a nite, discrete set. By contrast, Differential Evolution was originally designed to optimize functions de ned on real spaces. Unlike combinatorial problems, the set of feasible solutions for real parameter optimization is continuous. Although Differential Evolution operates internally with oating-point precision, it has been applied with success to many numerical optimization problems that have t- ditionally been classi ed as combinatorial because their feasible sets are discrete. For example, the knapsack problem's goal is to pack objects of differing weight and value so that the knapsack's total weight is less than a given maximum and the value of the items inside is maximized (see Sect. 2. 2. 1). The set of feasible solutions - vectors whose components are nonnegative integers - is both numerical and discrete. To handle such problems while retaining full precision, Differential Evolution copies oating-point - lutions to a temporary vector that, prior to being evaluated, is truncated to the nearest feasible solution, e. g. , by rounding the temporary parameters to the nearest nonnegative integer.
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | What is combinatorial optimization? Traditionally, a problem is considered to be c- binatorial if its set of feasible solutions is both ?nite and discrete, i. e. , enumerable. For example, the traveling salesman problem asks in what order a salesman should visit the cities in his territory if he wants to minimize his total mileage (see Sect. 2. 2. 2). The traveling salesman problem¿s feasible solutions - permutations of city labels - c- prise a ?nite, discrete set. By contrast, Differential Evolution was originally designed to optimize functions de?ned on real spaces. Unlike combinatorial problems, the set of feasible solutions for real parameter optimization is continuous. Although Differential Evolution operates internally with ?oating-point precision, it has been applied with success to many numerical optimization problems that have t- ditionally been classi?ed as combinatorial because their feasible sets are discrete. For example, the knapsack problem¿s goal is to pack objects of differing weight and value so that the knapsack¿s total weight is less than a given maximum and the value of the items inside is maximized (see Sect. 2. 2. 1). The set of feasible solutions - vectors whose components are nonnegative integers - is both numerical and discrete. To handle such problems while retaining full precision, Differential Evolution copies ?oating-point - lutions to a temporary vector that, prior to being evaluated, is truncated to the nearest feasible solution, e. g. , by rounding the temporary parameters to the nearest nonnegative integer.
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Handbook of Test Problems in Local and Global Optimization (Nonconvex Optimization and Its Applications)
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Handbook of Global Optimization
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Handbook of Global Optimization: Volume 2 (Nonconvex Optimization and Its Applications)
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Handbook of Global Optimization: Volume 2 (Nonconvex Optimization and Its Applications, 62)
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Handbook of Test Problems in Local and Global Optimization (Nonconvex Optimization and Its Applications, 33)
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Differential Evolution a Handbook for Global Permutation Based Combinatorial Optimization
Sprache: Englisch
Verlag: Springer, 2009
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Hardcover. Zustand: New. ISBN:9783540921509.
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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization (Studies in Computational Intelligence)
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Like New. Like New. Ships from Multiple Locations. book.
