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Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS (Chapman & Hall/CRC Interdisciplinary Statistics)
by Kris Bogaerts Arnost Komarek Emmanuel LesaffreSurvival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with interval censoring. In addition, the necessary software is at times difficult to trace. This book fills in the gap between theory and practice. Features: -Provides an overview of frequentist as well as Bayesian methods. -Include a focus on practical aspects and applications. -Extensively illustrates the methods with examples using R, SAS, and BUGS. Full programs are available on a supplementary website. The authors: Kris Bogaerts is project manager at I-BioStat, KU Leuven. He received his PhD in science (statistics) at KU Leuven on the analysis of interval-censored data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials. Arnošt Komárek is associate professor of statistics at Charles University, Prague. His subject area of expertise covers mainly survival analysis with the emphasis on interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling Society and editor of Statistical Modelling: An International Journal. Emmanuel Lesaffre is professor of biostatistics at I-BioStat, KU Leuven. His research interests include Bayesian methods, longitudinal data analysis, statistical modelling, analysis of dental data, interval-censored data, misclassification issues, and clinical trials. He is the founding chair of the Statistical Modelling Society, past-president of the International Society for Clinical Biostatistics, and fellow of ISI and ASA.
Survival Analysis with Python
by Avishek NagSurvival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis. It then delves into Parametric models with coverage of Concept of maximum likelihood estimate (MLE) of a probability distribution parameter MLE of the survival function Common probability distributions and their analysis Analysis of exponential distribution as a survival function Analysis of Weibull distribution as a survival function Derivation of Gumbel distribution as a survival function from Weibull Non-parametric models including Kaplan–Meier (KM) estimator, a derivation of expression using MLE Fitting KM estimator with an example dataset, Python code and plotting curves Greenwood’s formula and its derivation Models with covariates explaining The concept of time shift and the accelerated failure time (AFT) model Weibull-AFT model and derivation of parameters by MLE Proportional Hazard (PH) model Cox-PH model and Breslow’s method Significance of covariates Selection of covariates The Python lifelines library is used for coding examples. By mapping theory to practical examples featuring datasets, this book is a hands-on tutorial as well as a handy reference.
A Survival Guide to the Misinformation Age: Scientific Habits of Mind
by David HelfandWe live in the Information Age, with billions of bytes of data just two swipes away. Yet how much of this is mis- or even disinformation? A lot of it is, and your search engine can't tell the difference. As a result, an avalanche of misinformation threatens to overwhelm the discourse we so desperately need to address complex social problems such as climate change, the food and water crises, biodiversity collapse, and emerging threats to public health. This book provides an inoculation against the misinformation epidemic by cultivating scientific habits of mind. Anyone can do it—indeed, everyone must do it if our species is to survive on this crowded and finite planet.This survival guide supplies an essential set of apps for the prefrontal cortex while making science both accessible and entertaining. It will dissolve your fear of numbers, demystify graphs, and elucidate the key concepts of probability, all while celebrating the precise use of language and logic. David Helfand, one of our nation's leading astronomers and science educators, has taught scientific habits of mind to generations in the classroom, where he continues to wage a provocative battle against sloppy thinking and the encroachment of misinformation.
Survival Models and Data Analysis (Wiley Series in Probability and Statistics #110)
by Regina C. Elandt-Johnson Norman L. JohnsonSurvival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.
A Survivor's Guide to R: An Introduction for the Uninitiated and the Unnerved
by Kurt Taylor GaubatzFocusing on developing practical R skills rather than teaching pure statistics, Dr. Kurt Taylor Gaubatz’s A Survivor’s Guide to R provides a gentle yet thorough introduction to R. The book is structured around critical R tasks, and focuses on applied knowledge, rather than abstract concepts. Gaubatz’s easy-to-read approach helps students with little or no background in statistics or programming to develop real-world R skills through straightforward coverage of R objects and functions. Focusing on real-world data, the challenges of dataset construction, and the use of R’s powerful graphing tools, the guide is written in an accessible, sympathetic, even humorous style that ensures students acquire functional R skills they can use in their own projects and carry into their work beyond the classroom.
Survivorship Analysis for Clinical Studies (Statistics: A Series of Textbooks and Monographs)
by Eugene K. Harris Adelin AlbertThis unique reference/text provides an understanding of nonparametric and quasi parametric (regression) methods to analyze survivorship data in clinical studies emphasizing the interpretation and reasoning behind these methods.Written for clinicians, as well as biostatisticians, Survivorship Analysis for Clinical Studies justifies each new methodology presented and clarifies its relationship to preceding material. It describes and explains established methods for summarizing the results of the majority of single-clinic survivorship studies, comparing two or more survival processes, and examining the effects of covariates on survival.Including a diskette containing programs for computing confidence bands for survival curves, this book serves as a timely reference for biostatisticians, clinicians engaged in clinical trials, pharmacologists involved in new drug testing, epidemiologists, and biomedical engineers, and as a superb text for upper-level undergraduate and graduate students, as well as participants in professional seminars on survivorship data analysis in clinical settings.
Susie's Silly 1, 2, 3s
by Susan Lepore KingDo you like to be silly? Like wearing flowery tops and patterned bottoms together? Do you like to listen to rhymes or better yet, listen to those rhyming words roll off the tip of your tongue? Do you doodle and shade with a pencil? If you answered “yes” to any of these, then I invite you to follow me on a journey from 1 to 10 in a world brimming with silly rhymes and shady pencils.
Sustainable Ageing: Reimagining Healthy Ageing Through the Lens of Flagship Campaigns
by Nestor Asiamah Hafiz T. A. Khan Whitney Nesser Frank Frimpong Opuni Alex Siu Wing ChanThis book uniquely operationalizes "sustainable ageing" as a concept for reimagining ways by which: (1) social and health threats (i.e., climate change events, extreme industrialization, infectious disease outbreak, and war) can constrain the implementation of healthy ageing campaigns or limit their outcomes, and (2) potential transdisciplinary strategies can be rolled out to optimize healthy ageing through the campaigns in contexts experiencing the threats. The United Nations Decade of Healthy Ageing 2021-2030 initiative drives major healthy ageing campaigns and encapsulates 10 initiatives for enabling people to maintain health as they age. Worsening social and health threats are, however, hindering the implementation of the campaigns. Consequently, healthy ageing may not be achieved or sustained, even in age-friendly contexts experiencing crises. Scholars agree these threats will adversely impact public health and an inclusive multidisciplinary approach to healthy ageing is necessary amidst the threats. This book provides an understanding of how healthy ageing should be framed and approached through the campaigns in a world experiencing crises. Among the topics covered are: Psychology of “Ageing in Place” Amidst Health and Social Threats: Perspectives on the Decade of Healthy Ageing Climate Change Adaptation for Healthy Ageing Research-Practice Gap: Impact on Campaigns and Mitigation Strategies Human Development Pathways for Empowering Older Adults: A Decade of Healthy Ageing Perspective Initiatives to Fight Ageism, Neglect, and Elderly Abuse During Crises: A Healthy Ageing Perspective Sustainable Ageing: Reimagining Healthy Ageing Through the Lens of Flagship Campaigns is a timely publication with broad appeal. Each chapter provides empirical evidence or models for improving stakeholders’ understanding of campaign-related healthy ageing programmes, how the programmes are affected by the threats, and what can be done to achieve the core goals in contexts experiencing threats. Students, lecturers, and researchers can use the book as a research guide, whereas public health professionals and organizations can use it to develop or alter policies. Researchers in a wide range of disciplines can design studies based on models and insights from the book.
Sustainable Community Health: Systems and Practices in Diverse Settings
by Elias MpofuApplying a trans-disciplinary approach, this book provides a comprehensive, research-based guide to understanding, implementing, and strengthening sustainable community health in diverse international settings. By examining the interdependence of environmental, economic, public health, community wellbeing and development factors, the authors address the systemic factors impacting health disparities, inequality and social justice issues. The book analyzes strategies based on a partnership view of health, in which communities determine their health and wellness working alongside local, state and federal health agencies. Crucially, it demonstrates that communities are themselves health systems and their wellbeing capabilities affect the health of individuals and the collective alike. It identifies health indicators and tools that communities and policy makers can utilize to sustain truly inclusive health systems. This book offers a unique resource for researchers and practitioners working across psychology, mental health, rehabilitation, public health, epidemiology, social policy, healthcare and allied health.
Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices (Progress in IS)
by Jorge Marx Gómez Lawal O. YesufuSustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis. The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.
Sustainable Development through Machine Learning, AI and IoT: Second International Conference, ICSD 2024, Virtual Event, April 27–28, 2024, Proceedings (Communications in Computer and Information Science #2196)
by Pawan Whig Nuno Silva Ahmad A. Elngar Nagender Aneja Pavika SharmaThis book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27–28, 2024. The 38 full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: This volume encompassing a diverse array of topics at the intersection of cutting-edge technologies and practical applications. Each chapter delves into innovative approaches and solutions, providing valuable insights into contemporary challenges and opportunities in various domains. Here, we explore the realms of blockchain, data science, machine learning, artificial intelligence, and more, offering in-depth analyses and practical implementations.
Sustainable Environmental Design in Architecture: Impacts on Health (Springer Optimization and Its Applications #56)
by Panos M. Pardalos Stamatina Th. RassiaOver the last few decades, there have been dramatic improvements in the understanding and research of environmental design. Numerous methods have been developed to enhance architectural design in order for it to be more energy efficient, sustainable and health enhancing. This book presents several theories and techniques that can be used to improve how buildings are engineered and designed in order to utilize more sustainable construction methods while promoting the health of the building's occupants. Contributions to the study of environmental design have come from a diversity of fields including applied mathematics, optimization, computer science, medical research, psychology, management science, architecture, and engineering. The techniques developed in these areas of research can be used to increase building performance, occupant satisfaction, productivity, and well being, and reducing the incidence of health conditions and chronic diseases related to the use of a designed space. This book provides architectural practitioners, civil engineers as well as other interdisciplinary researchers with the techniques needed to design, implement, and test for sustainability and health promotion in new or existing structures.
Sustainable Finance, Digitalization and the Role of Technology: Proceedings of The International Conference on Business and Technology (ICBT 2021) (Lecture Notes in Networks and Systems #487)
by Allam Hamdan Bahaaeddin AlareeniThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers were selected for inclusion in the conference proceedings from forty countries. Each of these chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.The book highlights a range of topics in the fields of technology, entrepreneurship, business administration, accounting, and economics that can contribute to business development in countries, such as learning machines, artificial intelligence, big data, deep learning, game-based learning, management information system, accounting information system, knowledge management, entrepreneurship, and social enterprise, corporate social responsibility and sustainability, business policy and strategic management, international management and organizations, organizational behavior and HRM, operations management and logistics research, controversial issues in management and organizations, turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm governance, managerial accounting and firm financial affairs, non-traditional research, and creative methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.
Sustainable Hybrid Energy Systems: Carbon Neutral Approaches, Modeling, and Case Studies
by Jiuping Xu Fengjuan WangSustainable Hybrid Energy Systems Discovering comprehensive approaches to build sustainable hybrid energy systems Hybridization is the eternal theme of human energy utilization. However, it has never been more important than it is now because of the urgency of promoting energy transition and achieving carbon neutrality. Therefore, exploring the design, combustion, operation, and policy challenges of sustainable hybrid energy systems becomes increasingly important. Sustainable Hybrid Energy Systems: Carbon Neutral Approaches, Modeling, and Case Studies provides a detailed explanation of these aspects. Dividing hybrid energy systems into three categories—co-located, co-combusted, and co-operated, this book emphasizes the deployment optimization, emission quota allocation, scheduling coordination, and renewable portfolio standards implementation of these systems. The results are essential tools for understanding the current and future of multi-input single-output hybrid energy systems. Sustainable Hybrid Energy Systems readers will also find: Clear logical framework that reveals the constitutes of hybrid energy systems.Systematic technical scheme for building an economic, environmental, flexible, and resilient future energy system.Extensive case studies from single power plant level, multiple power plant level, and grid level.Effective guidelines for wider application of the proposed carbon neutral approaches. Sustainable Hybrid Energy Systems is ideal for power engineers, electrical engineers, scientists in industry, and environmental researchers looking to understand these energy solutions. It will also provide collectible value for libraries.
Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications (Contributions to Environmental Sciences & Innovative Business Technology)
by V. Ajantha DeviThis book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.
Sustainable Life Insurance: Managing Risk Appetite for Insurance Savings and Retirement Products (Chapman and Hall/CRC Financial Mathematics Series)
by Aymeric Kalife Ludovic Goudenège Tan Xiaolu Mouti Saad Mounir BellmaneSustainable Life Insurance: Managing Risk Appetite for Insurance Savings and Retirement Products gives an overview of all relevant aspects of traditional and non-traditional savings and retirement products from both insurers’ and policyholders’ respective risk appetites. Examples of such products include general accounts, whole life, annuities (variable, fixed and fixed indexed, structured), index-linked products, CPPI-based products, etc. The book contains technical details associated with both practice and theory, specifically related to modelling, product design, investments and risk management challenges and solutions, tailored to both insurers’ and policyholders’ perspectives. Features The book offers not only theoretical background but also concrete, cutting-edge "quick wins" across strategic and operational business axes. It will be an asset for professionals in the insurance industry, and a great teaching/learning resource for courses in risk management, insurance modelling, and more. The book highlights the operational challenges encountered across modelling, product designs and hedging.
Sustainable Management Through Knowledge and Innovation: How to Develop a Strong Strategy in the Wine Industry (SpringerBriefs in Applied Sciences and Technology)
by Javier Martínez-Falcó Bartolomé Marco-Lajara Eduardo Sánchez-García Luis A. Millán-TudelaThis book explores multiple types of innovation within the modern wine industry and how it has developed historically. The book provides and extensive examination of the existing knowledge in this subject. This highlights the evolution of historical and contemporary trends and signposts the authoritative literature published and most important researchers active in the field. With this comprehensive approach, the book is a versatile resource for both scholars and industry professionals, akin to a "Swiss Army Knife" for all aspects of green innovation in the wine sector.
Sustainable Neighbourhoods for Ageing in Place: An Interdisciplinary Voice Against Global Crises
by Nestor Asiamah Hafiz T. A. Khan Pablo Villalobos Dintrans Mohammad Javad Koohsari Emmanuel Mogaji Edgar Ramos Vieira Ruth Lowry Henry Kofi MensahThis timely book provides an understanding of how an ageing population can maintain health in the ageing process in their preferred homes and neighbourhoods while coping with global crises of climate change events, infectious diseases, systemic violence, and radical or extreme industrialisation. It is the first-known volume to consider the four crises as health and social threats to healthy longevity from a sustainability perspective. The book is a collection of commentaries, theoretical frameworks, case studies, and empirical evidence that: (1) provides an analysis of how the crises affect neighbourhood attributes and the ability of residents to use them to maintain health while living in their preferred neighbourhoods, and (2) suggests potential interventions for enabling residents to utilise these attributes for health while living at home in contexts experiencing the crises. Contributions are authored by scholars and practitioners from various disciplines including public health, health care, architecture, engineering, human resources development, information technology, and finance. Among the topics covered:The Impact of Crises on Older Adults’ Health and Function: An Intergenerational Perspective A Behavioural Approach to Sustainable Neighbourhoods: A Philosophical Construction of a Friendly NeighbourhoodAssistive Technologies for Ageing in Place: A Theoretical Proposition of Human Development Postulates “Sustainable Ageing” in a World of CrisesSustainable Neighbourhoods for Ageing in Place: An Interdisciplinary Voice Against Global Crises serves as both a primary and secondary text particularly suited for post-graduate level study (e.g., MSc, PhD). Each chapter richly describes events, phenomena and models in a way that fits contemporary curricula for students and instructors in sociology, gerontology, architecture, environmental science studies, sustainability, ageing studies, and public health. Researchers in a broad range of disciplines can use the book as a research guide to design their studies based on models and insights described in its contents. With theoretical frameworks and recommendations from this book, stakeholders can understand what a sustainable neighbourhood is in the context of crises by presenting problems and solutions from different countries and disciplines.
Sustainable Practices in Italian Businesses: Environmental, Social and Economic Aspects (SpringerBriefs in Environmental Science)
by Fabiola Riccardini Silvia Biffignandi Samuel AshongThis SpringerBrief describes the development and use of a synthetic indicator to assess different degrees of sustainability adoption by economic sector and businesses size. To make this analysis a theoretical framework which involves variables common to alternative frameworks (specifically ESG, GRI and Istat) is proposed. The empirical analysis focuses on the environmental, social and economic variables of the Italian businesses. In this analysis, all three pillars of sustainability – economic, environmental, and social – are considered. The work begins with a review of business sustainability literature and a look into institutional frameworks for the development and measurement of the phenomena. Connections between businesses and the SDGs are examined and comparison of the classifications of sustainable activities defined by GRI and ESG international standards is used to define a framework to be adopted to analyse ISTAT Business Census. Selected indicator variables are aggregated with a synthetic indicator and the results are presented (this is a new proposal of a synthetic indicator useful for the type of data used and published by ISTAT – Italian National Statistical Institute), discussing pros and cons of using it. This study provides two important innovative contributions. The first one is about how to approach the theoretical framework of businesses sustainability at firms aggregated level. The basic idea to work on a set of variables common to different approaches is interesting from the interpretative point of view. The second one, is about the specific empirical analysis, i.e. the Italian businesses sustainability situation. The investigation based on this new theoretical classification/framework and the new proposed indicator provides some interesting substantive results.
Sustainable Statistical and Data Science Methods and Practices: Reports from LISA 2020 Global Network, Ghana, 2022 (STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health)
by O. Olawale Awe Eric A. VanceThis volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as “stat labs”). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.
Sustained Simulation Performance 2012
by Erich Focht Hiroaki Kobayashi Michael M. Resch Wolfgang Bez Xin WangThe book presents the state of the art in high performance computing and simulation on modern supercomputer architectures. It covers trends in hardware and software development in general and specifically the future of high performance systems and heterogeneous architectures. The application contributions cover computational fluid dynamics, material science, medical applications and climate research. Innovative fields like coupled multi-physics or multi-scale simulations are presented. All papers were chosen from presentations given at the 14th Teraflop Workshop held in December 2011 at HLRS, University of Stuttgart, Germany and the Workshop on Sustained Simulation Performance at Tohoku University in March 2012.
Sustained Simulation Performance 2022: Proceedings of the Joint Workshop on Sustained Simulation Performance, High-Performance Computing Center Stuttgart (HLRS), University of Stuttgart and Tohoku University, May and October 2022
by Michael M. Resch Wolfgang Bez Hiroaki Kobayashi Hiroyuki Takizawa Johannes GebertThis book presents the state of the art in High-Performance Computing on modern supercomputer architectures. It addresses trends in hardware and software development in general. The contributions cover a broad range of topics, from performance evaluations in context with power efficiency to Computational Fluid Dynamics and High-Performance Data Analytics. In addition, they explore new topics like the use of High-Performance Computers in the field of Artificial Intelligence and Machine Learning. All contributions are based on selected papers presented in 2022 at the 33rd Workshop on Sustained Simulation Performance, WSSP33, held at HLRS in Stuttgart, Germany, and WSSP34, held at Tohoku University in Sendai, Japan.
Swarm Intelligence: 11th International Conference, ANTS 2018, Rome, Italy, October 29–31, 2018, Proceedings (Lecture Notes in Computer Science #11172)
by Marco Dorigo Mauro Birattari Christian Blum Anders L. Christensen Andreagiovanni Reina Vito TrianniThis book constitutes the proceedings of the 11th International Conference on Swarm Intelligence, ANTS 2018, held in Rome, Italy, in October 2018. The 24 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 69 submissions. They are devoted to the field of swarm intelligence as a whole, without any bias towards specific research directions.
Swarm Intelligence: 14th International Conference, ANTS 2024, Konstanz, Germany, October 9–11, 2024, Proceedings (Lecture Notes in Computer Science #14987)
by Marco Dorigo Heiko Hamann Andreagiovanni Reina Leslie Pérez Cáceres Jonas Kuckling Tanja Katharina Kaiser Mohammad Soorati Ken Hasselmann Eduard BussThis book constitutes the proceedings of the 14th International Conference on Swarm Intelligence, ANTS 2024, which took place in Konstanz, Germany, during October 9-11, 2024. The 14 ull papers and 5 short papers included in this book were carefully reviewed and selected from 33 submissions. They deal with self-organizing processes both in nature and in artificial systems.
Swarm Intelligence: Principles, Advances, and Applications
by Aboul Ella Hassanien Eid EmarySwarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to mathematical optimization, addressing basic concepts related to swarm intelligence, such as randomness, random walks, and chaos theory. The text then: Describes the various swarm intelligence optimization methods, standardizing the variants, hybridizations, and algorithms whenever possible Discusses variants that focus more on binary, discrete, constrained, adaptive, and chaotic versions of the swarm optimizers Depicts real-world applications of the individual optimizers, emphasizing variable selection and fitness function design Details the similarities, differences, weaknesses, and strengths of each swarm optimization method Draws parallels between the operators and searching manners of the different algorithms Swarm Intelligence: Principles, Advances, and Applications presents a comprehensive treatment of modern swarm intelligence optimization methods, complete with illustrative examples and an extendable MATLAB® package for feature selection in wrapper mode applied on different data sets with benchmarking using different evaluation criteria. The book provides beginners with a solid foundation of swarm intelligence fundamentals, and offers experts valuable insight into new directions and hybridizations.