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Probability-Based Multi-objective Optimization for Material Selection, Zheng


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Автор: Zheng
Название:  Probability-Based Multi-objective Optimization for Material Selection
ISBN: 9789811933509
Издательство: Springer
Классификация:



ISBN-10: 9811933502
Обложка/Формат: Hardback
Страницы: 147
Вес: 0.42 кг.
Дата издания: 27.08.2022
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 2 illustrations, color; 15 illustrations, black and white; xv, 147 p. 17 illus., 2 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection systematically, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time. Hybrids of the new approach with experimental design methodologies, such as response surface methodology, orthogonal experimental design, and uniform experimental design, are all performed; the conditions of the material performance utility with desirable value and robust assessment are included; the discretization treatment of complicated integral in the evaluation is presented. The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone. This book can be used as a textbook for postgraduate and advanced undergraduate students in material relevant majors, and a reference book for scientists and engineers digging in the related fields.
Дополнительное описание: Chapter 1. Introduction.- Chapter 2. Probability-Based Multi-Objective Optimization and Applications.- Chapter 3. Extension in Condition of the Utility with Interval Number.- Chapter 4. Extension in Condition of the Utility with Desirable Value.- Chapter


Data-driven science and engineering

Автор: Brunton, Steven L. (university Of Washington) Kutz
Название: Data-driven science and engineering
ISBN: 1009098489 ISBN-13(EAN): 9781009098489
Издательство: Cambridge Academ
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Цена: 52790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.

Sparse Solutions of Underdetermined Linear Systems

Автор: Ming-Jun Lai, Yang Wang
Название: Sparse Solutions of Underdetermined Linear Systems
ISBN: 1611976502 ISBN-13(EAN): 9781611976502
Издательство: Mare Nostrum (Eurospan)
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Цена: 74410.00 T
Наличие на складе: Нет в наличии.
Описание: This textbook presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called sparse solution. As underdetermined linear systems can be very different, the authors explain how to compute a sparse solution by many approaches.Sparse Solutions of Underdetermined Linear Systems:Contains 72 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval.Provides a detailed explanation of these algorithms including derivations and convergence analysis.Includes exercises for each chapter to help the reader understand the material.This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdocs will also find the book of interest.It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.

Non-Convex Multi-Objective Optimization

Автор: Panos M. Pardalos; Antanas ?ilinskas; Julius ?ilin
Название: Non-Convex Multi-Objective Optimization
ISBN: 3319610058 ISBN-13(EAN): 9783319610054
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions.

Multi-Objective Optimization

Автор: Jyotsna K. Mandal; Somnath Mukhopadhyay; Paramarth
Название: Multi-Objective Optimization
ISBN: 9811346399 ISBN-13(EAN): 9789811346392
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.

A Gentle Introduction to Optimization

Автор: Guenin
Название: A Gentle Introduction to Optimization
ISBN: 1107053447 ISBN-13(EAN): 9781107053441
Издательство: Cambridge Academ
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Цена: 70740.00 T
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Описание: Assuming only basic linear algebra, this textbook is the perfect starting point for a wide range of undergraduate students from across the mathematical sciences (computer science, engineering, economics, and so on). The authors focus on the fundamental ideas in optimization and motivate the theory with real-world examples and exercises.

Stochastic Multi-Stage Optimization

Автор: Carpentier Pierre
Название: Stochastic Multi-Stage Optimization
ISBN: 3319181378 ISBN-13(EAN): 9783319181370
Издательство: Springer
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Цена: 88500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues.

Stochastic Multi-Stage Optimization

Автор: Pierre Carpentier; Jean-Philippe Chancelier; Guy C
Название: Stochastic Multi-Stage Optimization
ISBN: 3319365150 ISBN-13(EAN): 9783319365152
Издательство: Springer
Рейтинг:
Цена: 88500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues.

Smart Grids: Multi-objective Optimization in Dispatching

Автор: Qiang Lu, Ying Chen, Xuemin Zhang
Название: Smart Grids: Multi-objective Optimization in Dispatching
ISBN: 3110447843 ISBN-13(EAN): 9783110447842
Издательство: Walter de Gruyter
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Цена: 144980.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The book systematically introduces smart power system design and its infrastructure, platform and operating standards. It focuses on multi-objective optimization and illustrates where the intelligence of the system lies. With abundant project data, this book is a practical guideline for engineers and researchers in electrical engineering, as well as power network designers and managers in administration.


Multi-Objective Optimization Problems

Автор: Fran S?rgio Lobato; Valder Steffen Jr.
Название: Multi-Objective Optimization Problems
ISBN: 3319585649 ISBN-13(EAN): 9783319585642
Издательство: Springer
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Цена: 46570.00 T
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Описание: The methodology is applied to solve mathematical functions considering test cases from the literature and various engineering systems design, such as cantilevered beam design, biochemical reactor, crystallization process, machine tool spindle design, rotary dryer design, among others.

Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

Автор: M.C. Bhuvaneswari
Название: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
ISBN: 8132235398 ISBN-13(EAN): 9788132235392
Издательство: Springer
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Цена: 95770.00 T
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Описание: This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

Автор: M.C. Bhuvaneswari
Название: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
ISBN: 8132219570 ISBN-13(EAN): 9788132219576
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

Optimization Methods for a Stakeholder Society

Автор: W.K. Brauers
Название: Optimization Methods for a Stakeholder Society
ISBN: 1461348242 ISBN-13(EAN): 9781461348245
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For both public and private managers, the book Optimization Methods for a Stakeholder Society is today`s key to answer the problem of a sustainable development world.


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