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Nonlinear Interval Optimization For Uncertain Problems

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Nonlinear Interval Optimization For Uncertain Problems

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Author : Chao Jiang
language : en
Publisher: Springer Nature
Release Date : 2020-12-08

Nonlinear Interval Optimization For Uncertain Problems written by Chao Jiang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Mathematics categories.

This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization problems, which is able to equivalently convert complex interval uncertain optimization problems to simple deterministic optimization problems. This model is then used as the basis for various interval uncertain optimization algorithms for engineering applications, which address the low efficiency caused by double-layer nested optimization. Further, the book extends the nonlinear interval optimization theory to design problems associated with multiple optimization objectives, multiple disciplines, and parameter dependence, and establishes the corresponding interval optimization models and solution algorithms. Lastly, it uses the proposed interval uncertain optimization models and methods to deal with practical problems in mechanical engineering and related fields, demonstrating the effectiveness of the models and methods.

Nonlinear Interval Optimization For Uncertain Problems

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Author : Chao Jiang
language : en
Publisher:
Release Date : 2021

Nonlinear Interval Optimization For Uncertain Problems written by Chao Jiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

Neutrosophic Number Nonlinear Programming Problems And Their General Solution Methods Under Neutrosophic Number Environments

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Author : Jun Ye
language : en
Publisher: Infinite Study
Release Date :

Neutrosophic Number Nonlinear Programming Problems And Their General Solution Methods Under Neutrosophic Number Environments written by Jun Ye and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

In practical situations, we often have to handle programming problems involving indeterminate information.

Affine Arithmetic Based Methods For Uncertain Power System Analysis

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Author : Alfredo Vaccaro
language : en
Publisher: Elsevier
Release Date : 2022-04-07

Affine Arithmetic Based Methods For Uncertain Power System Analysis written by Alfredo Vaccaro and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-07 with Technology & Engineering categories.

Affine Arithmetic-Based Methods for Uncertain Power System Analysis presents the unique properties and representative applications of Affine Arithmetic in power systems analysis, particularly as they are deployed for reliability optimization. The work provides a comprehensive foundation in Affine Arithmetic necessary to understand the central computing paradigms that can be adopted for uncertain power flow and optimal power flow analyses. These paradigms are adapted and applied to case studies, which integrate benchmark test systems and full step-by-step procedure for implementation so that readers are able to replicate and modify. The work is presented with illustrative numerical examples and MATLAB computations. - Provides a uniquely comprehensive review of affine arithmetic in both its core theoretical underpinnings and their developed applications to power system analysis - Details the exemplary benefits derived by the deployment of affine arithmetic methods for uncertainty handling in decision-making processes - Clarifies arithmetical complexity and eases the understanding of illustrative methodologies for researchers in both power system and decision-making fields

Applications Of Nature Inspired Computing And Optimization Techniques

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Author :
language : en
Publisher: Elsevier
Release Date : 2024-04-04

Applications Of Nature Inspired Computing And Optimization Techniques written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Mathematics categories.

Advances in Computers, Volume 135 highlights advances in the field, with this new volume, Applications of Nature-inspired Computing and Optimization Techniques presenting interesting chapters on a variety of timely topics, including A Brief Introduction to Nature-inspired Computing, Optimization and Applications, Overview of Non-linear Interval Optimization Problems, Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm, Situation-based Genetic Network Programming to Solve Agent Control Problems, Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer, Air Quality Modelling for Smart Cities of India by Nature Inspired AI – A Sustainable Approach, and much more.Other sections cover Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status, A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem, Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective, Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization, and a host of other topics. - Includes algorithm specific studies that cover basic introduction and analysis of key components of algorithms, such as convergence, solution accuracy, computational costs, tuning, and control of parameters - Comprises some of the major applications of different domains - Presents application specific studies, incorporating ways of designing objective functions, solution representation, and constraint handling

Advances In Mechanical Design

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Author : Jianrong Tan
language : en
Publisher: Springer Nature
Release Date : 2024-06-19

Advances In Mechanical Design written by Jianrong Tan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-19 with Technology & Engineering categories.

This book gathers selected papers from 2023 International Conference on Mechanical Design (2023 ICMD), held in Chengdu, China. The main objectives are to bring the community of researchers in the fields of mechanical design together, to exchange and discuss the most recent investigations, challenging problems and new trends, and to encourage the wider implementation of the advanced design technologies and tools in the world, particularly throughout China. The theme of 2023 ICMD is “Innovative Design Drives High-Quality Development”, and the event devotes to providing an excellent forum for the scholars all around the world to share their innovative ideas, cutting-edge research results.

Soft Computing Approach For Mathematical Modeling Of Engineering Problems

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Author : Ali Ahmadian
language : en
Publisher: CRC Press
Release Date : 2021-09-02

Soft Computing Approach For Mathematical Modeling Of Engineering Problems written by Ali Ahmadian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-02 with Mathematics categories.

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.

Uncertainty Based Ship Design Optimization

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Author : Zuyuan Liu
language : en
Publisher: Springer Nature
Release Date : 2024-07-16

Uncertainty Based Ship Design Optimization written by Zuyuan Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Transportation categories.

The book focused on the basic bottleneck issues in the ship uncertainty-based design optimization. Based on the concepts of robustness and reliability design, uncertainty classification, uncertainty modeling, uncertainty analysis and propagation methods were systematically explained, revealing the influence mechanism and rules of multi-source aleatory and epistemic uncertainty on ship design. Finally, a hull form design optimization method with mixed uncertainty was established. The theory of uncertainty design optimization is not yet mature, and this book gives a detailed introduction. The illustrations and tables in this book compared the differences between uncertainty-based optimization and traditional deterministic optimization, reflecting the advantages of uncertainty optimization. This book will be a useful reference for researchers and engineers in the field of ship design.

Interval Probabilistic Uncertainty And Non Classical Logics

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Author : Van-Nam Huynh
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-11

Interval Probabilistic Uncertainty And Non Classical Logics written by Van-Nam Huynh and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-11 with Mathematics categories.

This book contains the proceedings of the first International Workshop on Interval/Probabilistic Uncertainty and Non Classical Logics, Ishikawa, Japan, March 25-28, 2008. The workshop brought together researchers working on interval and probabilistic uncertainty and on non-classical logics. It is hoped this workshop will lead to a boost in the much-needed collaboration between the uncertainty analysis and non-classical logic communities, and thus, to better processing of uncertainty.

Multi Objective Optimization

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Author : Jyotsna K. Mandal
language : en
Publisher: Springer
Release Date : 2018-08-18

Multi Objective Optimization written by Jyotsna K. Mandal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-18 with Computers categories.

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.

Nonlinear Interval Optimization For Uncertain Problems

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