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Introduction To Evolutionary Informatics
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Book Synopsis Introduction To Evolutionary Informatics by : Marks Ii Robert J
Download or read book Introduction To Evolutionary Informatics written by Marks Ii Robert J and published by World Scientific. This book was released on 2017-02-27 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature. Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the authors, the book is written at a level easily understandable to readers with knowledge of rudimentary high school math. Those seeking a quick first read or those not interested in mathematical detail can skip marked sections in the monograph and still experience the impact of this new and exciting model of nature's information. This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory.
Book Synopsis Introduction to Evolutionary Informatics by : Robert Jackson Marks (II)
Download or read book Introduction to Evolutionary Informatics written by Robert Jackson Marks (II) and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature. Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the authors, the book is written at a level easily understandable to readers with knowledge of rudimentary high school math. Those seeking a quick first read or those not interested in mathematical detail can skip marked sections in the monograph and still experience the impact of this new and exciting model of nature's information. This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory."--Publisher's website.
Book Synopsis Introduction to Evolutionary Computing by : Agoston E. Eiben
Download or read book Introduction to Evolutionary Computing written by Agoston E. Eiben and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.
Book Synopsis Introduction to Evolutionary Algorithms by : Xinjie Yu
Download or read book Introduction to Evolutionary Algorithms written by Xinjie Yu and published by Springer Science & Business Media. This book was released on 2010-06-10 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.
Book Synopsis Practical Applications of Evolutionary Computation to Financial Engineering by : Hitoshi Iba
Download or read book Practical Applications of Evolutionary Computation to Financial Engineering written by Hitoshi Iba and published by Springer Science & Business Media. This book was released on 2012-02-15 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Practical Applications of Evolutionary Computation to Financial Engineering” presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionary Computation. This book bridges the gap between academics in computer science and traders and explains the basic ideas of the proposed systems and the financial problems in ways that can be understood by readers without previous knowledge on either of the fields. To cement the ideas discussed in the book, software packages are offered that implement the systems described within. The book is structured so that each chapter can be read independently from the others. Chapters 1 and 2 describe evolutionary computation. The third chapter is an introduction to financial engineering problems for readers who are unfamiliar with this area. The following chapters each deal, in turn, with a different problem in the financial engineering field describing each problem in detail and focusing on solutions based on evolutionary computation. Finally, the two appendixes describe software packages that implement the solutions discussed in this book, including installation manuals and parameter explanations.
Book Synopsis Introduction to Computational Biology by : Bernhard Haubold
Download or read book Introduction to Computational Biology written by Bernhard Haubold and published by Springer Science & Business Media. This book was released on 2006-08-09 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.
Author :Friedrich Recknagel Publisher :Springer Science & Business Media ISBN 13 :9783540434559 Total Pages :440 pages Book Rating :4.4/5 (345 download)
Book Synopsis Ecological Informatics by : Friedrich Recknagel
Download or read book Ecological Informatics written by Friedrich Recknagel and published by Springer Science & Business Media. This book was released on 2002-12-11 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery.
Book Synopsis Ontologies for Bioinformatics by : Kenneth Baclawski
Download or read book Ontologies for Bioinformatics written by Kenneth Baclawski and published by . This book was released on 2006 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ontologies as a critical framework for the vast amounts of data in the postgenomic era: an introduction to the basic concepts and applications of ontologies and ontology languages for the life sciences. Recent advances in biotechnology, spurred by the Human Genome Project, have resulted in the accumulation of vast amounts of new data. Ontologies--computer-readable, precise formulations of concepts (and the relationship among them) in a given field--are a critical framework for coping with the exponential growth of valuable biological data generated by high-output technologies. This book introduces the key concepts and applications of ontologies and ontology languages in bioinformatics and will be an essential guide for bioinformaticists, computer scientists, and life science researchers.The three parts of Ontologies for Bioinformatics ask, and answer, three pivotal questions: what ontologies are; how ontologies are used; and what ontologies could be (which focuses on how ontologies could be used for reasoning with uncertainty). The authors first introduce the notion of an ontology, from hierarchically organized ontologies to more general network organizations, and survey the best-known ontologies in biology and medicine. They show how to construct and use ontologies, classifying uses into three categories: querying, viewing, and transforming data to serve diverse purposes. Contrasting deductive, or Boolean, logic with inductive reasoning, they describe the goal of a synthesis that supports both styles of reasoning. They discuss Bayesian networks as a way of expressing uncertainty, describe data fusion, and propose that the World Wide Web can be extended to support reasoning with uncertainty. They call this inductive reasoning web the Bayesian web.
Download or read book Urban Informatics written by Wenzhong Shi and published by Springer Nature. This book was released on 2021-04-06 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Book Synopsis Mathematics of Bioinformatics by : Matthew He
Download or read book Mathematics of Bioinformatics written by Matthew He and published by John Wiley & Sons. This book was released on 2011-03-16 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the understanding of biological sequences, structures, and networks. Each chapter is divided into a number of sections based on the bioinformatics topics and related mathematical theory and methods. Each topic of the section is comprised of the following three parts: an introduction to the biological problems in bioinformatics; a presentation of relevant topics of mathematical theory and methods to the bioinformatics problems introduced in the first part; an integrative overview that draws the connections and interfaces between bioinformatics problems/issues and mathematical theory/methods/applications.
Book Synopsis An Introduction to VLSI Physical Design by : Majid Sarrafzadeh
Download or read book An Introduction to VLSI Physical Design written by Majid Sarrafzadeh and published by McGraw-Hill Science, Engineering & Mathematics. This book was released on 1996 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Ecological Modelling and Informatics by : Sven Erik Jørgensen
Download or read book Handbook of Ecological Modelling and Informatics written by Sven Erik Jørgensen and published by WIT Press. This book was released on 2009-01-30 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book gives a comprehensive overview of all available types of ecological models. It is the first book of its kind that gives an overview of different model types and will be of interest to all those involved in ecological and environmental modelling and ecological informatics.
Book Synopsis Explorations in Mathematical Anthropology by : Paul Kay
Download or read book Explorations in Mathematical Anthropology written by Paul Kay and published by Mit Press. This book was released on 1974-10-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an excellent sampling of mathematical, statistical, and computer techniques used by anthropologists to tackle a wide range of substantive problems.The scope of topics considered in this volume is so wide and various as to be an impressive indication of a strong future for mathematics in anthropology. Briefly, such topics include interinformant reliability, cultural distinctiveness in conceptual areas, cultural systems as mental systems of identification, classification, evaluation and action, diffusional versus functional explanations, general interaction theory, kinship terminologies as logical systems, folklore, cultural systems as systems of knowledge and belief, systemic culture patterns, endogamy/exogamy, genealogy, relation of social structure to relational terminology, cultural continuity, and cultural change.
Book Synopsis Introduction to Information Behaviour by : Nigel Ford
Download or read book Introduction to Information Behaviour written by Nigel Ford and published by Facet Publishing. This book was released on 2015-08-27 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This landmark textbook is an essential primer for students and practitioners interested in information seeking, needs and behaviour, user studies and information literacy. Introduction to Information Behaviour uses a combination of theory and practical context to map out what information behaviour is and what we currently know about it, before addressing how it can be better understood in the future. Nigel Ford argues that new understandings of information behaviour research may help maximise the quality and effectiveness of the way information is presented, sought, discovered, evaluated and used. The book introduces the key concepts, issues and themes of information behaviour, illustrates them using key research studies, and provides a clear path through the complex maze of theories and models. The book is structured to move from the basics to the more complex and employs the pedagogical device of “THINK” boxes which invite the reader to think about concepts as they are introduced in order to consolidate their understanding before moving on. Case studies are included throughout the text and each chapter concludes with a round-up of what has been covered, highlighting the implications for professional information practice. The key topics covered include: Defining information behaviour and why is it useful to know about it Information needs Information seeking and acquisition Collaborative information behaviour Factors affecting information behaviour Models and theories of information behaviour Research approaches and methodologies Designing information systems The future trajectory of information behaviour research and practice. Readership: This book will be core reading for students around the world, particularly those on library and information science courses. It will also be of interest to practitioners and professional information users, providers and developers.
Book Synopsis Methods in Biomedical Informatics by : Indra Neil Sarkar
Download or read book Methods in Biomedical Informatics written by Indra Neil Sarkar and published by Academic Press. This book was released on 2013-09-03 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, Methods in Biomedical Informatics provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research. Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applications Material is presented as a balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios. Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.
Book Synopsis Introduction to Learning Classifier Systems by : Ryan J. Urbanowicz
Download or read book Introduction to Learning Classifier Systems written by Ryan J. Urbanowicz and published by Springer. This book was released on 2017-08-17 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible introduction shows the reader how to understand, implement, adapt, and apply Learning Classifier Systems (LCSs) to interesting and difficult problems. The text builds an understanding from basic ideas and concepts. The authors first explore learning through environment interaction, and then walk through the components of LCS that form this rule-based evolutionary algorithm. The applicability and adaptability of these methods is highlighted by providing descriptions of common methodological alternatives for different components that are suited to different types of problems from data mining to autonomous robotics. The authors have also paired exercises and a simple educational LCS (eLCS) algorithm (implemented in Python) with this book. It is suitable for courses or self-study by advanced undergraduate and postgraduate students in subjects such as Computer Science, Engineering, Bioinformatics, and Cybernetics, and by researchers, data analysts, and machine learning practitioners.
Book Synopsis Virus Evolution by : Scott C. Weaver
Download or read book Virus Evolution written by Scott C. Weaver and published by Caister Academic Press Limited. This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of virus evolution has developed during the past three decades, from one considered by many to be esoteric and unimportant for human and agricultural health, to a major driver of our thinking about infectious diseases of plants and animals. The field has been spurred on during the past 30 years by emerging viral diseases such as HIV/AIDS, hantaviruses, SARS, MERS, and Ebola, along with discoveries of the quasispecies nature and potential for rapid evolution and diversification of RNA virus populations. Over time, the focus of research has expanded and developed to encompass a diverse mixture of approaches, from highly theoretical and mechanistic studies of the basic evolutionary mechanisms to detailed research on the molecular host range, as well as virulence changes responsible for emerging viral diseases. This timely book addresses a wide range of current questions and research approaches at the forefront of the field and highlights recent advances in the understanding of the history and mechanisms of virus evolution. Wherever possible, the book's contributors have integrated information from the study of plant, animal, and bacterial viruses. Every effort has been made to unify findings and to highlight the diversity in patterns and modes of virus evolution between systems in order to aid comparative analysis. The book will be essential reading for everyone working on virus evolution and emerging viral diseases. It is also recommended for anyone working in the area of viral pathogenesis. [Subject: Microbiology, Virology, Life Science]
