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Nature-Inspired Design of Hybrid Intelligent Systems

by Patricia Melin Oscar Castillo Janusz Kacprzyk

This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book's third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

Nature-Inspired Intelligent Computing Techniques in Bioinformatics (Studies in Computational Intelligence #1066)

by Khalid Raza

This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications (Springer Tracts in Nature-Inspired Computing)

by Serdar Carbas Abdurrahim Toktas Deniz Ustun

This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

by Ahmed M. Anter Mohamed Elhoseny Anuradha D. Thakare

This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book's outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors.The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis, and enhancing patient care. Metaheuristics improve algorithm performance and address challenges in data mining and ML, making them essential in healthcare research. Real-time IoT-based healthcare systems can be modeled using an IoT-based metaheuristic approach to generate optimal solutions.Metaheuristics are powerful technologies for optimization problems in healthcare systems. They balance exact methods, which guarantee optimal solutions but require significant computational resources, with fast but low-quality greedy methods. Metaheuristic algorithms find better solutions while minimizing computational time. The scientific community is increasingly interested in metaheuristics, incorporating techniques from AI, operations research, and soft computing. New metaheuristics offer efficient ways to address optimization problems and tackle unsolved challenges. They can be parameterized to control performance and adjust the trade-off between solution quality and resource utilization. Metaheuristics manage the trade-off between performance and solution quality, making them highly applicable to real-time applications with pragmatic objectives.

Nature-Inspired Networking: Theory and Applications

by Phan Cong-Vinh

"Nature-inspired" includes, roughly speaking, "bio-inspired"+"physical-inspired"+"social-inspired"+ and so on. This book contains highly original contributions about how nature is going to shape networking systems of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions, which encompass three classes of major methods: 1) Those that take inspiration from nature for the development of novel problem solving techniques; 2) Those that are based on the use of networks to synthesize natural phenomena; and 3) Those that employ natural materials to compute or communicate.

Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World (Natural Computing Series)

by Neil Urquhart

This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introduce and explain the traveling salesperson problem (TSP), vehicle routing problems (VRPs), and multi-objective problems, with an emphasis on heuristic approaches and software engineering aspects. In turn, Part II demonstrates how to exploit geospatial data, routing algorithms, and visualization. In Part III, the above techniques and insights are combined in real-world success stories from domains such as food delivery in rural areas, postal delivery, workforce routing, and urban logistics.The book offers a valuable supporting text for advanced undergraduate and graduate courses and projects in Computer Science, Engineering, Operations Research, and Mathematics. It is accompanied by a repository of source code, allowing readers to try out the algorithms and techniques discussed.

Nature-Inspired Optimization Algorithms

by Vasuki A

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior. This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem ranging from computer science to economics and covering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms. Features: Detailed description of the algorithms along with pseudocode and flowchart Easy translation to program code that is also readily available in Mathworks website for some of the algorithms Simple examples demonstrating the optimization strategies are provided to enhance understanding Standard applications and benchmark datasets for testing and validating the algorithms are included This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature-inspired optimization algorithms are unconventional, and this makes them more efficient than their traditional counterparts.

Nature-Inspired Optimization Algorithms with Java: A Look at Optimization Techniques

by Shashank Jain

Gain insight into the world of nature-inspired optimization techniques and algorithms. This book will prepare you to apply different nature-inspired optimization techniques to solve problems using Java.You'll start with an introduction to the hidden algorithms that nature uses and find the approximate solutions to optimization problems. You'll then see how living creatures such as fish and birds are able to perform computation to solve specific optimization tasks. This book also covers various nature-inspired algorithms by reviewing code examples for each one followed by crisp and clear explanations of the algorithm using Java code. You'll examine the use of each algorithm in specific industry scenarios such as fleet scheduling in supply chain management, and shop floor management in industrial and manufacturing applications. Nature-Inspired Optimization Algorithms with Java is your pathway to understanding a variety of optimization problems that exist in various industries and domains and it will develop an ability to apply nature-inspired algorithms to find approximate solutions to them.What You'll LearnStudy optimization and its problemsExamine nature-inspired algorithms such as Particle Swarm, Gray wolf, etc.See how nature-inspired algorithms are being used to solve optimization problemsUse Java for solving the different nature-inspired algorithms with real-world examplesWho This Book Is For Software developers/architects who are looking to hone their skills in area of problem solving related to optimization with Java.

Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis (SpringerBriefs in Applied Sciences and Technology)

by Patricia Melin Ivette Miramontes German Prado Arechiga

This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the optimizations were carried out to design the fuzzy classifiers of the nocturnal blood pressure profile and heart rate level. In addition, to obtain the architecture that provides the best result, the neurons and the number of neurons per layers of the artificial neural networks used in the model are optimized. Furthermore, different tests were carried out with the complete optimized model. Another work that is presented in this book is the dynamic parameter adaptation of the bird swarm algorithm using fuzzy inference systems, with the aim of improving its performance. For this, different experiments are carried out, where mathematical functions and a monolithic neural network are optimized to compare the results obtained with the original algorithm. The book will be of interest for graduate students of engineering and medicine, as well as researchers and professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people working on metaheuristic algorithms and their applications on medicine.

Nature Inspired Optimization Techniques for Image Processing Applications (Intelligent Systems Reference Library #150)

by Jude Hemanth Valentina Emilia Balas

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.

Nature-Inspired Optimizers: Theories, Literature Reviews and Applications (Studies in Computational Intelligence #811)

by Andrew Lewis Jin Song Dong Seyedali Mirjalili

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

The Nature Of Code

by Daniel Shiffman

How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results. Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design. Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. The books examples are written in Processing, an open-source language and development environment built on top of the Java programming language. On the books website (http: //www. natureofcode. com), the examples run in the browser via Processings JavaScript mode.

The Nature of Code (PDF)

by Daniel Shiffman

How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results. Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design. Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. The books examples are written in Processing, an open-source language and development environment built on top of the Java programming language. On the books website (http: //www. natureofcode. com), the examples run in the browser via Processings JavaScript mode.

Nature of Computation and Communication: 8th EAI International Conference, ICTCC 2022, Vinh Long, Vietnam, October 27-28, 2022, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #473)

by Cong Vinh Phan Thanh Dung Nguyen

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Nature of Computation and Communication, ICTCC 2022, held in Vinh Long, Vietnam, in October 27-28 2022. The 11 revised full papers presented were carefully selected from 32 submissions. The papers of ICTCC 2022 cover formal methods for self-adaptive systems and discuss natural approaches and techniques for natural computing systems and their applications.

Nature of Computation and Communication

by Phan Cong Vinh Leonard Barolli

This book constitutes the post-conference proceedings of the Second International Conference on Nature of Computation and Communication, ICTCC 2016, held in March 2016 in Rach Gia, Vietnam. The 36 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers cover formal methods for self-adaptive systems and discuss natural approaches and techniques for computation and communication.

Nature of Computation and Communication: 9th EAI International Conference, ICTCC 2023, Ho Chi Minh City, Vietnam, October 26-27, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #586)

by Phan Cong Vinh Hafiz Mahfooz Ul Haque

This book constitutes the refereed post-conference proceedings of the 9th International Conference on Nature of Computation and Communication, ICTCC 2023, held in Ho Chi Minh City, Vietnam, in October 2023. The 12 revised full papers presented were carefully selected from 30 submissions. The papers of ICTCC 2023 cover formal methods for self-adaptive systems and discuss natural approaches and techniques for natural computing systems and their applications.

Nature of Computation and Communication: 7th EAI International Conference, ICTCC 2021, Virtual Event, October 28–29, 2021, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #408)

by Phan Cong Vinh Nguyen Huu Nhan

This book constitutes the refereed post-conference proceedings of the 7th International Conference on Nature of Computation and Communication, ICTCC 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 revised full papers presented were carefully selected from 43 submissions. The papers of ICTCC 2021 cover formal methods for self-adaptive systems and discuss natural approaches and techniques for natural computing systems and their applications.

The Nature of Data: Infrastructures, Environments, Politics

by Jenny Goldstein Eric Nost

When we look at some of the most pressing issues in environmental politics today, it is hard to avoid data technologies. Big data, artificial intelligence, and data dashboards all promise &“revolutionary&” advances in the speed and scale at which governments, corporations, conservationists, and even individuals can respond to environmental challenges. By bringing together scholars from geography, anthropology, science and technology studies, and ecology, The Nature of Data explores how the digital realm is a significant site in which environmental politics are waged. This collection as a whole makes the argument that we cannot fully understand the current conjuncture in critical, global environmental politics without understanding the role of data platforms, devices, standards, and institutions. In particular, The Nature of Data addresses the contested practices of making and maintaining data infrastructure, the imaginaries produced by data infrastructures, the relations between state and civil society that data infrastructure reworks, and the conditions under which technology can further socio-ecological justice instead of re-entrenching state and capitalist power. This innovative volume presents some of the first research in this new but rapidly growing subfield that addresses the role of data infrastructures in critical environmental politics.

The Nature of Software Development: Keep It Simple, Make It Valuable, Build It Piece by Piece

by Ron Jeffries

You need to get value from your software project. You need it "free, now, and perfect." We can't get you there, but we can help you get to "cheaper, sooner, and better." This book leads you from the desire for value down to the specific activities that help good Agile projects deliver better software sooner, and at a lower cost. Using simple sketches and a few words, the author invites you to follow his path of learning and understanding from a half century of software development and from his engagement with Agile methods from their very beginning.The book describes software development, starting from our natural desire to get something of value. Each topic is described with a picture and a few paragraphs. You're invited to think about each topic; to take it in. You'll think about how each step into the process leads to the next. You'll begin to see why Agile methods ask for what they do, and you'll learn why a shallow implementation of Agile can lead to only limited improvement.This is not a detailed map, nor a step-by-step set of instructions for building the perfect project. There is no map or instructions that will do that for you.You need to build your own project, making it a bit more perfect every day. To do that effectively, you need to build up an understanding of the whole process.This book points out the milestones on your journey of understanding the nature of software development done well. It takes you to a location, describes it briefly, and leaves you to explore and fill in your own understanding.What You Need:You'll need your Standard Issue Brain, a bit of curiosity, and a desire to build your own understanding rather than have someone else's detailed ideas poured into your head.

The Nature of Technology: What It Is and How It Evolves

by W. Brian Arthur

“More than anything else technology creates our world. It creates our wealth, our economy, our very way of being,” says W. Brian Arthur. Yet despite technology’s irrefutable importance in our daily lives, until now its major questions have gone unanswered. Where do new technologies come from? What constitutes innovation, and how is it achieved? Does technology, like biological life, evolve? In this groundbreaking work, pioneering technology thinker and economist W. Brian Arthur answers these questions and more, setting forth a boldly original way of thinking about technology. The Nature of Technology is an elegant and powerful theory of technology’s origins and evolution. Achieving for the development of technology what Thomas Kuhn’s The Structure of Scientific Revolutions did for scientific progress, Arthur explains how transformative new technologies arise and how innovation really works. Drawing on a wealth of examples, from historical inventions to the high-tech wonders of today, Arthur takes us on a mind-opening journey that will change the way we think about technology and how it structures our lives. The Nature of Technology is a classic for our times.

The Nature of the Future: Dispatches from the Socialstructed World

by Marina Gorbis

A renowned futurist offers a vision of a reinvented world. Large corporations, big governments, and other centralized organizations have long determined and dominated the way we work, access healthcare, get an education, feed ourselves, and generally go about our lives. The economist Ronald Coase, in his famous 1937 paper "The Nature of the Firm," provided an economic explanation for this: Organizations lowered transaction costs, making the provision of goods and services cheap, efficient, and reliable. Today, this organizational advantage is rapidly disappearing. The Internet is lowering transaction costs--costs of connection, coordination, and trade--and pointing to a future that increasingly favors distributed sources and social solutions to some of our most immediate needs and our most intractable problems. As Silicon Valley thought-leader Marina Gorbis, head of the Institute for the Future, portrays, a thriving new relationship-driven or socialstructed economy is emerging in which individuals are harnessing the powers of new technologies to join together and provide an array of products and services. Examples of this changing economy range from BioCurious, a members-run and free-to-use bio lab, to the peer-to-peer lending platform Lending Club, to the remarkable Khan Academy, a free online-teaching service. These engaged and innovative pioneers are filling gaps and doing the seemingly impossible by reinventing business, education, medicine, banking, government, and even scientific research. Based on extensive research into current trends, she travels to a socialstructed future and depicts an exciting vision of tomorrow.

The Nature of the Future

by Marina Gorbis

A renowned futurist offers a vision of a reinvented world. Large corporations, big governments, and other centralized organizations have long determined and dominated the way we work, access healthcare, get an education, feed ourselves, and generally go about our lives. The economist Ronald Coase, in his famous 1937 paper "The Nature of the Firm," provided an economic explanation for this: Organizations lowered transaction costs, making the provision of goods and services cheap, efficient, and reliable. Today, this organizational advantage is rapidly disappearing. The Internet is lowering transaction costs--costs of connection, coordination, and trade--and pointing to a future that increasingly favors distributed sources and social solutions to some of our most immediate needs and our most intractable problems. As Silicon Valley thought-leader Marina Gorbis, head of the Institute for the Future, portrays, a thriving new relationship-driven or socialstructed economy is emerging in which individuals are harnessing the powers of new technologies to join together and provide an array of products and services. Examples of this changing economy range from BioCurious, a members-run and free-to-use bio lab, to the peer-to-peer lending platform Lending Club, to the remarkable Khan Academy, a free online-teaching service. These engaged and innovative pioneers are filling gaps and doing the seemingly impossible by reinventing business, education, medicine, banking, government, and even scientific research. Based on extensive research into current trends, she travels to a socialstructed future and depicts an exciting vision of tomorrow.

The Nature of the Machine and the Collapse of Cybernetics

by Alcibiades Malapi-Nelson

This book is a philosophical exploration of the theoretical causes behind the collapse of classical cybernetics, as well as the lesson that this episode can provide to current emergent technologies. Alcibiades Malapi-Nelson advances the idea that the cybernetic understanding of the nature of a machine entails ontological and epistemological consequences that created both material and theoretical conundrums. However, he proposes that given our current state of materials research, scientific practices, and research tools, there might be a way for cybernetics to flourish this time. The book starts with a historical and theoretical articulation of cybernetics in order to proceed with a philosophical explanation of its collapse--emphasizing the work of Alan Turing, Ross Ashby and John von Neumann. Subsequently, Malapi-Nelson unveils the common metaphysical signature shared between cybernetics and emergent technologies, identifying this signature as transhumanist in nature. Finally, avenues of research that may allow these disruptive technologies to circumvent the cybernetic fate are indicated. It is proposed that emerging technologies ultimately entail an affirmation of humanity.

Nature Photography: Insider Secrets From The World's Top Digital Photography Professionals

by Chris Weston

Have you ever wondered what it is that professional photographers do day in and day out that enables them to take consistently compelling images? Or thought that unravelling the insider secrets of the professionals could inspire you? Nature Photography: Insider Secrets from the World's Top Digital Photography Professionals takes a contemporary and innovative approach to revealing the day-to-day habits of the world's most successful wildlife, landscape and macro photographers, divulging the core skills and techniques through which they excel. This book is crammed full with expert advice taken from the world's leading pros directly from the field. It will empower the development of your skills to a professional level and fire your imagination. Starting with the basics of how to plan a rewarding field trip, whether locally or afar, for one day or a month, and covering all aspects of camera handling and photographic technique including: how to make perfect exposures every time, ensure pin-sharp images of moving subjects, decipher the complexities of camera menus and controls, and break through the mysteries of composition. And, having learned the secrets to success, the book maps out some simple yet powerful photo exercises and self-assignments to encourage you to explore all facets of digital photography and put into practice the essential skills that will make you, too, a highly successful photographer.

Navigating Cyberspace

by Kim Etingoff

The Internet is a great tool for learning. It's also a lot of fun for games, keeping up with friends, or reading about the things you love. But there are also dangers on the Internet. You can't always know for sure to whom you're talking. Information you put online that you think is safe may become a target for people who are up to no good. Pictures you share with one person can end up in the hands of people you'd never have sent them to. The Internet can become a scary place.

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