Optimization in Structural Design, A. Sawczuk; Z. Mroz
Автор: Zong Woo Geem Название: Harmony Search Algorithms for Structural Design Optimization ISBN: 3642034497 ISBN-13(EAN): 9783642034497 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Researchers have lately applied the metaheuristic algorithm Harmony search to handle discrete design variables for various structures such as buildings and bridges. This book gathers all the latest developments of Harmony search algorithm in structural design.
Автор: S. Robert Hernandez; C.A. Brebbia Название: Optimization of Structural Systems and Industrial Applications ISBN: 1851666699 ISBN-13(EAN): 9781851666690 Издательство: Springer Рейтинг: Цена: 74909.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Andre Langevin; Diane Riopel Название: Logistics Systems: Design and Optimization ISBN: 1441937633 ISBN-13(EAN): 9781441937636 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In a context of global competition, the optimization of logistics systems is inescapable. It classifies logistics decisions and highlights the relevant linkages to logistics decisions. The intricacy of these linkages demonstrates how thoroughly the decisions are interrelated and underscores the complexity of managing logistics activities.
Описание: Proceedings of the NATO Advanced Study Institute on Optimization and Decision Support Systems in Civil Engineering, Edinburgh, U.K., June 25-July 6, 1989
Описание: Proceedings of the NATO Advanced Study Institute on Optimization and Decision Support Systems in Civil Engineering, Edinburgh, U.K., June 25-July 6, 1989
Автор: Masataka Yoshimura Название: System Design Optimization for Product Manufacturing ISBN: 1447157893 ISBN-13(EAN): 9781447157892 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers detailed concepts and practical technologies based on system optimization methodologies that consider a broad range of mechanical and human factors. The core concepts and methodologies discussed can be applied to many business fields.
Автор: Slawomir Koziel; Xin-She Yang Название: Computational Optimization, Methods and Algorithms ISBN: 3662520044 ISBN-13(EAN): 9783662520048 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computational optimization is an important paradigm with a wide range of applications. This book reviews and discusses the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization.
Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.
Описание: This practically oriented book presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability. It presents all essential theoretical achievements in the field.
Автор: Yoel Tenne; Chi-Keong Goh Название: Computational Intelligence in Optimization ISBN: 3642127746 ISBN-13(EAN): 9783642127748 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.
Автор: G.I. Marchuk Название: Optimization Techniques ISBN: 3540071652 ISBN-13(EAN): 9783540071655 Издательство: Springer Рейтинг: Цена: 7836.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: John W. Chinneck Название: Feasibility and Infeasibility in Optimization: ISBN: 1441945199 ISBN-13(EAN): 9781441945198 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others. Constrained optimization models have grown immensely in scale and complexity in recent years as inexpensive computing power has become widely available. Models now frequently have many complicated interacting constraints, giving rise to a host of issues related to feasibility and infeasibility. For example, it is sometimes difficult to find any feasible point at all for a large model, or even to accurately determine if one exists, e.g. for nonlinear models. If the model is feasible, how quickly can a solution be found? If the model is infeasible, how can the cause be isolated and diagnosed? Can a repair to restore feasibility be carried out automatically? Researchers have developed numerous algorithms and computational methods in recent years to address such issues, with a number of surprising spin-off applications in fields such as artificial intelligence and computational biology. Over the same time period, related approaches and techniques relating to feasibility and infeasibility of constrained problems have arisen in the constraint programming community.
Feasibility and Infeasibility in Optimization is a timely expository book that summarizes the state of the art in both classical and recent algorithms related to feasibility and infeasibility in optimization, with a focus on practical methods. All model forms are covered, including linear, nonlinear, and mixed-integer programs. Connections to related work in constraint programming are shown. Part I of the book addresses algorithms for seeking feasibility quickly, including new methods for the difficult cases of nonlinear and mixed-integer programs. Part II provides algorithms for analyzing infeasibility by isolating minimal infeasible (or maximum feasible) subsets of constraints, or by finding the best repair for the infeasibility. Infeasibility analysis algorithms have arisen primarily over the last two decades, and the book covers these in depth and detail. Part III describes applications in numerous areas outside of direct infeasibility analysis such as finding decision trees for data classification, analyzing protein folding, radiation treatment planning, automated test assembly, etc.
A main goal of the book is to impart an understanding of the methods so that practitioners can make immediate use of existing algorithms and software, and so that researchers can extend the state of the art and find new applications. The book is of interest to researchers, students, and practitioners across the applied sciences who are working on optimization problems.
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