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Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, Pandian Vasant, Gerhard-Wilhelm Weber, Vo Ngoc Dieu


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Автор: Pandian Vasant, Gerhard-Wilhelm Weber, Vo Ngoc Dieu
Название:  Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics
ISBN: 9781466696440
Издательство: Mare Nostrum (Eurospan)
Классификация:




ISBN-10: 1466696443
Обложка/Формат: Hardcover
Страницы: 684
Вес: 2.70 кг.
Дата издания: 29.02.2016
Серия: Advances in computational intelligence and robotics
Язык: English
Иллюстрации: Black & white illustrations
Размер: 229 x 293 x 56
Читательская аудитория: Professional and scholarly
Ключевые слова: Economics,Optimization,Engineering: general
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Поставляется из: Англии
Описание: Highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of engineering, IT, and economics. Focusing on a variety of methods and systems as well as practical examples, this book is a significant resource for graduate-level students, decision makers, and researchers in both public and private sectors.


Optimization Theory, Decision Making, and Operations Research Applications

Автор: Athanasios Migdalas; Angelo Sifaleras; Christos K
Название: Optimization Theory, Decision Making, and Operations Research Applications
ISBN: 1489985964 ISBN-13(EAN): 9781489985965
Издательство: Springer
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Цена: 16769.00 р.
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Описание: These proceedings consist of 30 selected research papers based on results presented at the 10th Balkan Conference & 1st International Symposium on Operational Research (BALCOR 2011) held in Thessaloniki, Greece, September 22-24, 2011.

Continuous-time Stochastic Control and Optimization with Financial Applications

Автор: Huyen Pham
Название: Continuous-time Stochastic Control and Optimization with Financial Applications
ISBN: 3540894993 ISBN-13(EAN): 9783540894995
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This text provides a systematic treatment of stochastic optimization problems applied to finance by presenting the different existing methods: dynamic programming, viscosity solutions, backward stochastic differential equations and martingale duality methods.

Optimization: Algorithms and Applications

Автор: Arora Rajesh Kumar
Название: Optimization: Algorithms and Applications
ISBN: 1498721125 ISBN-13(EAN): 9781498721127
Издательство: Taylor&Francis
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Цена: 29093.00 р.
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Описание:

Choose the Correct Solution Method for Your Optimization Problem

Optimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs.

The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems. It discusses the conjugate gradient method, Broyden-Fletcher-Goldfarb-Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential quadratic programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and tabu search methods. The author shows how to solve non-convex multi-objective optimization problems using simple modifications of the basic PSO code. The book also introduces multidisciplinary design optimization (MDO) architectures--one of the first optimization books to do so--and develops software codes for the simplex method and affine-scaling interior point method for solving linear programming problems. In addition, it examines Gomory's cutting plane method, the branch-and-bound method, and Balas' algorithm for integer programming problems.

The author follows a step-by-step approach to developing the MATLAB(R) codes from the algorithms. He then applies the codes to solve both standard functions taken from the literature and real-world applications, including a complex trajectory design problem of a robot, a portfolio optimization problem, and a multi-objective shape optimization problem of a reentry body. This hands-on approach improves your understanding and confidence in handling different solution methods. The MATLAB codes are available on the book's CRC Press web page.

Applications of Metaheuristic Optimization Algorithms in Civil Engineering

Автор: A. Kaveh
Название: Applications of Metaheuristic Optimization Algorithms in Civil Engineering
ISBN: 3319480111 ISBN-13(EAN): 9783319480114
Издательство: Springer
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Цена: 20962.00 р.
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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.

Multilevel Optimization: Algorithms and Applications

Автор: A. Migdalas; Panos M. Pardalos; Peter V?rbrand
Название: Multilevel Optimization: Algorithms and Applications
ISBN: 0792346939 ISBN-13(EAN): 9780792346937
Издательство: Springer
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Цена: 37594.00 р.
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Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Автор: Dookie Kim, Sanjiban Sekhar Roy, Tim Lansivaara, Ravinesh Deo, Pijush Samui
Название: Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering
ISBN: 1522547665 ISBN-13(EAN): 9781522547662
Издательство: Mare Nostrum (Eurospan)
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Цена: 51698.00 р.
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Описание: The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers.The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.

Topology Optimization: Theory, Methods and Applications

Автор: Bendsoe M.P., Sigmund O.
Название: Topology Optimization: Theory, Methods and Applications
ISBN: 3540429921 ISBN-13(EAN): 9783540429920
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The topology optimization method solves the basic engineering problem of distributing a limited amount of material in a design space. The first edition of this book has become the standard text on optimal design, which is concerned with the optimization of structural topology, shape and material. This edition has been substantially revised and updated to reflect progress made in modelling and computational procedures. It also encompasses a comprehensive and unified description of the state of the art of the so-called material distribution method, based on the use of mathematical programming and finite elements. Applications treated include not only structures but also MEMS and materials.


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