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wolf ruediger hansen rfid for the optimization of business processes

Wolf-Ruediger Hansen RFID for the Optimization of Business Processes wolf ruediger hansen rfid for the optimization of business processes

Wolf-Ruediger Hansen...

RFID, complemented by other Auto-ID technologies such as Barcode, NFC...

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Zainuddin A. Manan Modeling, Simulation, and Optimization of Supercritical and Subcritical Fluid Extraction Processes wolf ruediger hansen rfid for the optimization of business processes

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This book provides a complete guide on tools and techniques for modeli...

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H. Schmidt-Traub Preparative Chromatography wolf ruediger hansen rfid for the optimization of business processes

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This interdisciplinary approach combines the chemistry and engineering...

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Ibrahim Dincer Optimization of Energy Systems wolf ruediger hansen rfid for the optimization of business processes

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An essential resource for optimizing energy systems to enhance design...

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Singiresu S. Rao Engineering Optimization wolf ruediger hansen rfid for the optimization of business processes

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The revised and updated new edition of the popular optimization book f...

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Цена: 13340.22 RUR

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Thomas Kaiser Digital Signal Processing for RFID wolf ruediger hansen rfid for the optimization of business processes

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This book discusses the fundamentals of RFID and the state-of-the-art...

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Xincheng Zhang LTE Optimization Engineering Handbook wolf ruediger hansen rfid for the optimization of business processes

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A comprehensive resource containing the operating principles and key i...

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Цена: 12430.2 RUR

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Costas D. Maranas Optimization Methods in Metabolic Networks wolf ruediger hansen rfid for the optimization of business processes

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Provides a tutorial on the computational tools that use mathematical o...

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Цена: 11120.18 RUR

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Группа авторов Computer Modeling for Injection Molding wolf ruediger hansen rfid for the optimization of business processes

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This book covers a wide range of applications and uses of simulation a...

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Цена: 13340.22 RUR

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Юрий Владимирович Ляндау BUSINESS ARCHITECT: Business management systems modelling. (Бакалавриат). Монография. wolf ruediger hansen rfid for the optimization of business processes

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“Business Architect: Business Management Systems Design” is a guideboo...

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Stanislaw H. Zak An Introduction to Optimization wolf ruediger hansen rfid for the optimization of business processes

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Praise for the Third Edition «. . . guides and leads the reader throug...

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Omid Bozorg-Haddad Meta-heuristic and Evolutionary Algorithms for Engineering Optimization wolf ruediger hansen rfid for the optimization of business processes

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A detailed review of a wide range of meta-heuristic and evolutionary a...

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Ioana Nascu Modelling Optimization and Control of Biomedical Systems wolf ruediger hansen rfid for the optimization of business processes

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Shows the newest developments in the field of multi-parametric model p...

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Vangelis Th. Paschos Concepts of Combinatorial Optimization wolf ruediger hansen rfid for the optimization of business processes

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Combinatorial optimization is a multidisciplinary scientific area, lyi...

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Radi Bouchaib Uncertainty and Optimization in Structural Mechanics wolf ruediger hansen rfid for the optimization of business processes

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Optimization is generally a reduction operation of a definite quantity...

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Michael H. Veatch Linear and Convex Optimization wolf ruediger hansen rfid for the optimization of business processes

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Discover the practical impacts of current methods of optimization with...

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Для информации:

A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization; Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner; Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms; Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering; Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.