Uncertain Graph And Network Optimization
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Uncertain Graph And Network Optimization
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Author : Bo Zhang
language : en
Publisher: Springer Nature
Release Date : 2022-05-03
Uncertain Graph And Network Optimization written by Bo Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-03 with Technology & Engineering categories.
This first book focuses on uncertain graph and network optimization. It covers three different main contents: uncertain graph, uncertain programming and uncertain network optimization. It also presents applications of uncertain network optimization in a lot of real problems such as transportation problems, dispatching medical supplies problems and location problems. The book is suitable for researchers, engineers, teachers and students in the field of mathematics, information science, computer science, decision science, management science and engineering, artificial intelligence, industrial engineering, economics and operations research.
On Uncertain Graphs
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Author : Arijit Khan
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
On Uncertain Graphs written by Arijit Khan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Large-scale, highly interconnected networks, which are often modeled as graphs, pervade both our society and the natural world around us. Uncertainty, on the other hand, is inherent in the underlying data due to a variety of reasons, such as noisy measurements, lack of precise information needs, inference and prediction models, or explicit manipulation, e.g., for privacy purposes. Therefore, uncertain, or probabilistic, graphs are increasingly used to represent noisy linked data in many emerging application scenarios, and they have recently become a hot topic in the database and data mining communities. Many classical algorithms such as reachability and shortest path queries become #P-complete and, thus, more expensive over uncertain graphs. Moreover, various complex queries and analytics are also emerging over uncertain networks, such as pattern matching, information diffusion, and influence maximization queries. In this book, we discuss the sources of uncertain graphs and their applications, uncertainty modeling, as well as the complexities and algorithmic advances on uncertain graphs processing in the context of both classical and emerging graph queries and analytics. We emphasize the current challenges and highlight some future research directions.
Network Optimization
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Author : Julia Pahl
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-03
Network Optimization written by Julia Pahl 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 2011-06-03 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Conference on Network Optimization, INOC 2011, held in Hamburg, Germany, in June 2011. The 65 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers highlight recent developments in network optimization and are organized in the following topical sections: theoretical problems, uncertainty, graph theory and network design; network flows; routing and transportation; and further optimization problems and applications (energy oriented network design, telecom applications, location, maritime shipping, and graph theory).
Quantum Theory And Fuzzy Systems Traversing Uncertainty In Group Decision Making And Social Networks
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Author : Tofigh Allahviranloo
language : en
Publisher: Springer Nature
Release Date : 2025-05-21
Quantum Theory And Fuzzy Systems Traversing Uncertainty In Group Decision Making And Social Networks written by Tofigh Allahviranloo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Computers categories.
This book dives into the fascinating intersection of quantum theory and fuzzy systems. This work is inspired by quantum theory and its real-world applications. It bridges the gap between abstract theoretical concepts and practical implementations in quantum theory-based group decision-making and graph theory/social networks. Highlights: Core concepts: Begin with uncertainty in quantum theory and fuzzy systems and familiarise yourself with the basics of quantum graphs. Real-World Applications: Explore methods for multi-attribute group decision-making, choosing green building materials, and evaluating wearable health devices, renewable energy options, and cell phones using quantum decision methods. Advanced Exploration: Investigate dynamic centrality measures for brain networks, routing protocols, centrality metrics, link prediction, and applications of quantum graphs. Comprehensive topics: Learn about green supplier selection, investment decisions under uncertainty, sustainable solar energy management, and more. Innovative approaches: Examine topological indices, dominance theory, applications of quantum computing, social fuzzy and quantum networks, scenarios of co-concurrence, and optimization techniques in quantum graphs. This comprehensive guide is an indispensable resource for students, researchers, and professionals who want to explore the applications of quantum theory in network science, quantum computing, and decision-making. Whether readers are experts or novices, this book provides knowledge and practical insights to navigate the complexity of uncertainty in our networked world.
Computing And Combinatorics
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Author : Yong Chen
language : en
Publisher: Springer Nature
Release Date : 2025-03-04
Computing And Combinatorics written by Yong Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Computers categories.
This three-volume set LNCS 15161, 15162 and 15163 constitutes the refereed proceedings of the 30th International Conference, COCOON 2024, held in Shanghai, China, during August 23–25, 2024. The 90 full papers and 6 short papers were carefully reviewed and selected from 277 submissions. COCOON 2024 provided an excellent venue for researchers working in the area of algorithms, theory of computation, computational complexity, and combinatorics related to computing.
Optimization Of Temporal Networks Under Uncertainty
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Author : Wolfram Wiesemann
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-05
Optimization Of Temporal Networks Under Uncertainty written by Wolfram Wiesemann 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 2012-01-05 with Business & Economics categories.
Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.
Management Of Uncertainty Using Linguistic Z Numbers
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Author : Tofigh Allahviranloo
language : en
Publisher: Springer Nature
Release Date : 2024-11-04
Management Of Uncertainty Using Linguistic Z Numbers written by Tofigh Allahviranloo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-04 with Computers categories.
This book is an in-depth study of the application of Linguistic Z numbers in various domains. It is divided into 18 chapters, each focusing on different aspects and applications of Linguistic Z numbers. The first chapter introduces the concept of a Linguistic Z number fuzzy probabilistic rough set and their corresponding three-way decisions. The second chapter discusses the TOPSIS-based multi-attribute group decision-making (MAGDM) under Linguistic Z number information. The third chapter presents a new approach of multi-criteria group decision-making (MCGDM): MARCOS-based alternatives measurement with ranking under Linguistic Z number information and their application in the selection of logistics distribution cold chain center. The fourth chapter focuses on the Linguistic Z number environment-based site selection of medical logistic centers with the TODIM-VIKOR approach. The fifth chapter explores MCGDM based on TODIM-PROMETHEE II under Linguistic Z number environment and their application in site selection of emergency shelters. The sixth chapter introduces a novel approach of extended ORESTE-based Linguistic Z number MAGDM and their applications in the ability of regional energy assessment. The seventh chapter discusses MCGDM based on MULTIMOORA with Linguistic Z number and their application in software selection. The eighth chapter presents multi-criteria group decision-making using the LogTODIM-TOPSIS approach in a Linguistic Z number environment for selecting auto parts materials in the technology of automobiles. The ninth chapter introduces a Linguistic Z number CoCoSo approach for multi-criteria group decision-making and application to the diagnosis of sepsis. The tenth chapter discusses The ExpTODIM-VIKOR approach under a Linguistic Z number environment and its applications to solve multi-criteria group decision-making problems. This book provides a deep understanding of Linguistic Z numbers and their applications in decision-making, granular computing, and social networks. It is a valuable resource for researchers and practitioners in these fields.
Signal And Information Processing Networking And Computers
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Author : Yue Wang
language : en
Publisher: Springer Nature
Release Date : 2024-05-02
Signal And Information Processing Networking And Computers written by Yue Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Technology & Engineering categories.
This book collects selected papers from the 11th Conference on Signal and Information Processing, Networking and Computers held in Chengdu, China, in September 2023. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies, big data, and other related technologies. People from both academia and industry of these fields can contribute and find their interests from the book. The 11th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) was held in Chengdu, China, in September 2023, which focused on the key technologies and challenges of signal and information processing schemes, network application, computer theory, space technologies, big data, and other related technologies
Optimization Under Uncertainty With Applications To Aerospace Engineering
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Author : Massimiliano Vasile
language : en
Publisher: Springer Nature
Release Date : 2021-02-15
Optimization Under Uncertainty With Applications To Aerospace Engineering written by Massimiliano Vasile and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-15 with Science categories.
In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.
Optimization Uncertainty And Machine Learning In Wind Energy Conversion Systems
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Author : Kishalay Mitra
language : en
Publisher: Springer Nature
Release Date : 2025-01-24
Optimization Uncertainty And Machine Learning In Wind Energy Conversion Systems written by Kishalay Mitra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Computers categories.
This book presents state-of-the-art technologies in wind farm layout optimization and control to improve the current industry/research practice. The contents take readers towards a different kind of uncertainty handling through the discussion on several techniques enabling maximum energy harnessing out of uncertain situations. The book aims to give a detailed overview of such concepts in the first part, where the recent advancements in the fields of (i) Wind farm layout optimization, (ii) Multi-objective Optimization and Uncertainty handling in optimization methods, (iii) Development of Machine Learning-based surrogate models in optimization, and (iv) Different types of wake models for wind farms will be discussed. The second part will cover the application of the aforementioned techniques on the wind farm layout optimization and control through several chapters such as (i) Wind farm performance assessment using Computational Fluid Dynamics (CFD) tools, (ii) Artificial Neural Network (ANN) based hybrid wake models, (iii) Long Short-term Memory (LSTM) & Support Vector Regression (SVR) based forecasting and micro-siting, (iv) windfarm micro-siting using data-driven Robust Optimization (RO) as well as Generative Adversarial Networks (GANs), (v) Reinforcement learning (RL) based wind farm control and (vi) Application of eXplainable AI (XAI) tools for interpreting wind time-series data. In this manner, the book provides state-of-the-art techniques in the fields of multi-objective optimization, Evolutionary Algorithms, Machine Learning surrogate models, Bayesian Optimization, Data Analysis, and Optimization under Uncertainty and their applications in the field of wind energy generation that can be extremely generic and can be applied to many other engineering fields. This volume will be of interest to those in academia and industry.