Optimization Learning And Control For Interdependent Complex Networks

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Optimization, Learning, and Control for Interdependent Complex Networks

Author : M. Hadi Amini
Publisher : Springer Nature
ISBN 13 : 3030340945
Total Pages : 306 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Optimization, Learning, and Control for Interdependent Complex Networks by : M. Hadi Amini

Download or read book Optimization, Learning, and Control for Interdependent Complex Networks written by M. Hadi Amini and published by Springer Nature. This book was released on 2020-02-22 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. • Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks • Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks • Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011.

Advances in Computer Vision and Computational Biology

Author : Hamid R. Arabnia
Publisher : Springer Nature
ISBN 13 : 3030710513
Total Pages : 903 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Computer Vision and Computational Biology by : Hamid R. Arabnia

Download or read book Advances in Computer Vision and Computational Biology written by Hamid R. Arabnia and published by Springer Nature. This book was released on 2021-08-05 with total page 903 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of four conferences: The 24th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'20), The 6th International Conference on Health Informatics and Medical Systems (HIMS'20), The 21st International Conference on Bioinformatics & Computational Biology (BIOCOMP'20), and The 6th International Conference on Biomedical Engineering and Sciences (BIOENG'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks on Image Processing, Computer Vision, & Pattern Recognition, Health Informatics & Medical Systems, Bioinformatics, Computational Biology & Biomedical Engineering; Features papers from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20.

Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm

Author : Pawel Sniatala
Publisher : Springer Nature
ISBN 13 : 3030331326
Total Pages : 209 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm by : Pawel Sniatala

Download or read book Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm written by Pawel Sniatala and published by Springer Nature. This book was released on 2020-02-05 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive analysis of Brooks-Iyengar Distributed Sensing Algorithm, which brings together the power of Byzantine Agreement and sensor fusion in building a fault-tolerant distributed sensor network. The authors analyze its long-term impacts, advances, and future prospects. The book starts by discussing the Brooks-Iyengar algorithm, which has made significant impact since its initial publication in 1996. The authors show how the technique has been applied in many domains such as software reliability, distributed systems and OS development, etc. The book exemplifies how the algorithm has enhanced new real-time features by adding fault-tolerant capabilities for many applications. The authors posit that the Brooks-Iyengar Algorithm will to continue to be used where fault-tolerant solutions are needed in redundancy system scenarios. This book celebrates S.S. Iyengar's accomplishments that led to his 2019 Institute of Electrical and Electronics Engineers' (IEEE) Cybermatics Congress "Test of Time Award" for his work on creating Brooks-Iyengar Algorithm and its impact in advancing modern computing.

Cyberphysical Smart Cities Infrastructures

Author : M. Hadi Amini
Publisher : John Wiley & Sons
ISBN 13 : 1119748305
Total Pages : 324 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Cyberphysical Smart Cities Infrastructures by : M. Hadi Amini

Download or read book Cyberphysical Smart Cities Infrastructures written by M. Hadi Amini and published by John Wiley & Sons. This book was released on 2022-01-06 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to deploy novel algorithms to improve and secure smart city infrastructure In Cyberphysical Smart Cities Infrastructures: Optimal Operation and Intelligent Decision Making, accomplished researchers Drs. M. Hadi Amini and Miadreza Shafie-Khah deliver a crucial exploration of new directions in the science and engineering of deploying novel and efficient computing algorithms to enhance the efficient operation of the networks and communication systems underlying smart city infrastructure. The book covers special issues on the deployment of these algorithms with an eye to helping readers improve the operation of smart cities. The editors present concise and accessible material from a collection of internationally renowned authors in areas as diverse as computer science, electrical engineering, operation research, civil engineering, and the social sciences. They also include discussions of the use of artificial intelligence to secure the operations of cyberphysical smart city infrastructure and provide several examples of the applications of novel theoretical algorithms. Readers will also enjoy: Thorough introductions to fundamental algorithms for computing and learning, large-scale optimizations, control theory for large-scale systems Explorations of machine learning and intelligent decision making in cyberphysical smart cities, including smart energy systems and intelligent transportation networks In-depth treatments of intelligent decision making in cyberphysical smart city infrastructure and optimization in networked smart cities Perfect for senior undergraduate and graduate students of electrical and computer engineering, computer science, civil engineering, telecommunications, information technology, and business, Cyberphysical Smart Cities Infrastructures is an indispensable reference for anyone seeking to solve real-world problems in smart cities.

Machine Learning and Computational Intelligence Techniques for Data Engineering

Author : Pradeep Singh
Publisher : Springer Nature
ISBN 13 : 9819900476
Total Pages : 885 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Machine Learning and Computational Intelligence Techniques for Data Engineering by : Pradeep Singh

Download or read book Machine Learning and Computational Intelligence Techniques for Data Engineering written by Pradeep Singh and published by Springer Nature. This book was released on 2023-05-15 with total page 885 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.

Hybrid Intelligent Systems

Author : Ajith Abraham
Publisher : Springer Nature
ISBN 13 : 3030730506
Total Pages : 817 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Hybrid Intelligent Systems by : Ajith Abraham

Download or read book Hybrid Intelligent Systems written by Ajith Abraham and published by Springer Nature. This book was released on 2021-04-16 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.

Advances in Artificial Intelligence and Applied Cognitive Computing

Author : Hamid R. Arabnia
Publisher : Springer Nature
ISBN 13 : 3030702960
Total Pages : 1152 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Artificial Intelligence and Applied Cognitive Computing by : Hamid R. Arabnia

Download or read book Advances in Artificial Intelligence and Applied Cognitive Computing written by Hamid R. Arabnia and published by Springer Nature. This book was released on 2021-10-14 with total page 1152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).

Unmanned Aerial Vehicles Applications: Challenges and Trends

Author : Mohamed Abdelkader
Publisher : Springer Nature
ISBN 13 : 3031320379
Total Pages : 404 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Unmanned Aerial Vehicles Applications: Challenges and Trends by : Mohamed Abdelkader

Download or read book Unmanned Aerial Vehicles Applications: Challenges and Trends written by Mohamed Abdelkader and published by Springer Nature. This book was released on 2023-06-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book that covers different aspects of UAV technology, including design and development, applications, security and communication, and legal and regulatory challenges. The book is divided into 13 chapters, grouped into four parts. The first part discusses the design and development of UAVs, including ROS customization, structured designs, and intelligent trajectory tracking. The second part explores diverse applications such as search and rescue, monitoring distributed parameter systems, and leveraging drone technology in accounting. The third part focuses on security and communication challenges, including security concerns, multi-UAV systems, and communications security. The final part delves into the legal and regulatory challenges of integrating UAVs into non-segregated airspace. The book serves as a valuable resource for researchers, practitioners, and students in the field of unmanned aerial vehicles, providing a comprehensive understanding of UAV technology and its applications.

Artificial Intelligence for Solar Photovoltaic Systems

Author : Bhavnesh Kumar
Publisher : CRC Press
ISBN 13 : 1000618439
Total Pages : 309 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Artificial Intelligence for Solar Photovoltaic Systems by : Bhavnesh Kumar

Download or read book Artificial Intelligence for Solar Photovoltaic Systems written by Bhavnesh Kumar and published by CRC Press. This book was released on 2022-07-29 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques. It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI. This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.

Advances in Computer Science for Engineering and Education IV

Author : Zhengbing Hu
Publisher : Springer Nature
ISBN 13 : 3030804720
Total Pages : 468 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Computer Science for Engineering and Education IV by : Zhengbing Hu

Download or read book Advances in Computer Science for Engineering and Education IV written by Zhengbing Hu and published by Springer Nature. This book was released on 2021-07-21 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises high-quality refereed research papers presented at the Fourth International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2021), held in Kyiv, Ukraine, on January 23–24, 2021, organized jointly by the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, National Aviation University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in computer science, artificial intelligence, engineering techniques, genetic coding systems, deep learning with its medical applications, and knowledge representation with its applications in education. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and their applications in engineering and education.

Proceedings of Data Analytics and Management

Author : Deepak Gupta
Publisher : Springer Nature
ISBN 13 : 9811662851
Total Pages : 850 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of Data Analytics and Management by : Deepak Gupta

Download or read book Proceedings of Data Analytics and Management written by Deepak Gupta and published by Springer Nature. This book was released on 2021-11-21 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Encyclopedia of Data Science and Machine Learning

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1799892212
Total Pages : 3296 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John

Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Sustainable Interdependent Networks

Author : M. Hadi Amini
Publisher : Springer
ISBN 13 : 3319744127
Total Pages : 290 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Sustainable Interdependent Networks by : M. Hadi Amini

Download or read book Sustainable Interdependent Networks written by M. Hadi Amini and published by Springer. This book was released on 2018-02-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the theory and application of interdependent networks. The contributors consider the influential networks including power and energy networks, transportation networks, and social networks. The first part of the book provides the next generation sustainability framework as well as a comprehensive introduction of smart cities with special emphasis on energy, communication, data analytics and transportation. The second part offers solutions to performance and security challenges of developing interdependent networks in terms of networked control systems, scalable computation platforms, and dynamic social networks. The third part examines the role of electric vehicles in the future of sustainable interdependent networks. The fourth and last part of this volume addresses the promises of control and management techniques for the future power grids.

Comprehensive Metaheuristics

Author : Ali Mirjalili
Publisher : Elsevier
ISBN 13 : 0323972675
Total Pages : 468 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Comprehensive Metaheuristics by : Ali Mirjalili

Download or read book Comprehensive Metaheuristics written by Ali Mirjalili and published by Elsevier. This book was released on 2023-01-31 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains. The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts. - Presented by world-renowned researchers and practitioners in metaheuristics - Includes techniques, algorithms, and applications based on real-world case studies - Presents the methodology for formulating optimization problems for metaheuristics - Provides readers with methods for analyzing and tuning the performance of a metaheuristic, as well as for integrating metaheuristics in other AI techniques - Features online complementary source code from the applications and algorithms

Decision and Game Theory for Security

Author : Stefan Rass
Publisher : Springer
ISBN 13 : 3319687115
Total Pages : 543 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Decision and Game Theory for Security by : Stefan Rass

Download or read book Decision and Game Theory for Security written by Stefan Rass and published by Springer. This book was released on 2017-10-12 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Decision and Game Theory for Security, GameSec 2017, held in Vienna, Austria, in October 2017. The 24 revised full papers presented together with 4 short papers were carefully reviewed and selected from 71 submissions.The papers address topics such as Game theory and mechanism design for security and privacy; Pricing and economic incentives for building dependable and secure systems; Dynamic control, learning, and optimization and approximation techniques; Decision making and decision theory for cybersecurity and security requirements engineering; Socio-technological and behavioral approaches to security; Risk assessment and risk management; Security investment and cyber insurance; Security and privacy for the Internet-of-Things (IoT), cyber-physical systems, resilient control systems; New approaches for security and privacy in cloud computing and for critical infrastructure; Security and privacy of wireless and mobile communications, including user location privacy; Game theory for intrusion detection; and Empirical and experimental studies with game-theoretic or optimization analysis for security and privacy.

Complex Networks and Their Applications XI

Author : Hocine Cherifi
Publisher : Springer Nature
ISBN 13 : 3031211316
Total Pages : 674 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Complex Networks and Their Applications XI by : Hocine Cherifi

Download or read book Complex Networks and Their Applications XI written by Hocine Cherifi and published by Springer Nature. This book was released on 2023-01-25 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.

Sustainable Interdependent Networks II

Author : M. Hadi Amini
Publisher : Springer
ISBN 13 : 3319989235
Total Pages : 316 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Sustainable Interdependent Networks II by : M. Hadi Amini

Download or read book Sustainable Interdependent Networks II written by M. Hadi Amini and published by Springer. This book was released on 2018-12-11 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book paves the way for researchers working on the sustainable interdependent networks spread over the fields of computer science, electrical engineering, and smart infrastructures. It provides the readers with a comprehensive insight to understand an in-depth big picture of smart cities as a thorough example of interdependent large-scale networks in both theory and application aspects. The contributors specify the importance and position of the interdependent networks in the context of developing the sustainable smart cities and provide a comprehensive investigation of recently developed optimization methods for large-scale networks. There has been an emerging concern regarding the optimal operation of power and transportation networks. In the second volume of Sustainable Interdependent Networks book, we focus on the interdependencies of these two networks, optimization methods to deal with the computational complexity of them, and their role in future smart cities. We further investigate other networks, such as communication networks, that indirectly affect the operation of power and transportation networks. Our reliance on these networks as global platforms for sustainable development has led to the need for developing novel means to deal with arising issues. The considerable scale of such networks, due to the large number of buses in smart power grids and the increasing number of electric vehicles in transportation networks, brings a large variety of computational complexity and optimization challenges. Although the independent optimization of these networks lead to locally optimum operation points, there is an exigent need to move towards obtaining the globally-optimum operation point of such networks while satisfying the constraints of each network properly. The book is suitable for senior undergraduate students, graduate students interested in research in multidisciplinary areas related to future sustainable networks, and the researchers working in the related areas. It also covers the application of interdependent networks which makes it a perfect source of study for audience out of academia to obtain a general insight of interdependent networks.