Applications of Metaheuristic Optimization Algorithms in Civil Engineering, Kaveh A.
Автор: Kochenderfer Mykel J., Wheeler Tim A. Название: Algorithms for Optimization ISBN: 0262039427 ISBN-13(EAN): 9780262039420 Издательство: MIT Press Рейтинг: Цена: 95930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.
This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language.
Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
Автор: Tamas Terlaky and Miguel F. Anjos Название: Advances and Trends in Optimization with Engineering Applications ISBN: 1611974674 ISBN-13(EAN): 9781611974676 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 101640.00 T Наличие на складе: Невозможна поставка. Описание: Optimization is of critical importance in engineering. This overview of state-of-the-art optimization techniques reviews 10 major areas of optimization and related engineering applications. It provides a solid foundation for engineers and mathematical optimizers alike who want to understand not only the importance of optimization methods to engineering but also the capabilities of current methods.
Автор: A. Kaveh Название: Applications of Metaheuristic Optimization Algorithms in Civil Engineering ISBN: 3319480111 ISBN-13(EAN): 9783319480114 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical engineering.
Автор: Cesar Rego; Bahram Alidaee Название: Metaheuristic Optimization via Memory and Evolution ISBN: 144195483X ISBN-13(EAN): 9781441954831 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government.
Автор: A. Kaveh Название: Advances in Metaheuristic Algorithms for Optimal Design of Structures ISBN: 3319350625 ISBN-13(EAN): 9783319350622 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization.
Автор: Kaveh A. Название: Advances in Metaheuristic Algorithms for Optimal Design of Structures ISBN: 3319834592 ISBN-13(EAN): 9783319834597 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization.
Автор: Swagatam Das; Ajith Abraham; Amit Konar Название: Metaheuristic Clustering ISBN: 3642100716 ISBN-13(EAN): 9783642100710 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Cluster analysis means the organization of an unlabeled collection of objects into separate groups based on their similarity. With the use of several real world examples, this book formulates clustering as an optimization problem.
Автор: Jorge Magalh?es-Mendes; David Greiner Название: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management ISBN: 3319373218 ISBN-13(EAN): 9783319373218 Издательство: Springer Рейтинг: Цена: 87060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented at the minisymposium organized by the editors at the ECCOMAS conference on this topic in Barcelona 2014.
Автор: Jorge Magalh?es-Mendes; David Greiner Название: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management ISBN: 331920405X ISBN-13(EAN): 9783319204055 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented at the minisymposium organized by the editors at the ECCOMAS conference on this topic in Barcelona 2014.
Автор: Johann Dr?o; A. Chatterjee; Alain P?trowski; Patri Название: Metaheuristics for Hard Optimization ISBN: 364206194X ISBN-13(EAN): 9783642061943 Издательство: Springer Рейтинг: Цена: 93130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Contains case studies from engineering and operations researchIncludes commented literature for each chapter
Автор: Christian Blum; Andrea Roli; Michael Sampels Название: Hybrid Metaheuristics ISBN: 3642096972 ISBN-13(EAN): 9783642096976 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Optimization problems are of great importance across a broad range of fields. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.
Автор: Ali Kaveh; Taha Bakhshpoori Название: Metaheuristics: Outlines, MATLAB Codes and Examples ISBN: 3030040666 ISBN-13(EAN): 9783030040666 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics. The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.
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