Introduction To Evolutionary Informatics

Author: Robert J Marks II
Publisher: World Scientific
ISBN: 9789813142169
Size: 10.62 MB
Format: PDF
View: 75

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.

Introduction To Evolutionary Informatics

Author: Robert J. Marks, II
Publisher: World Scientific Publishing Company
ISBN: 9813142138
Size: 18.83 MB
Format: PDF, Docs
View: 93

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.

Introduction To Evolutionary Informatics

Author: Robert J. Marks, II
Publisher: World Scientific Publishing Company
ISBN: 9813142146
Size: 17.81 MB
Format: PDF, Docs
View: 43

Science has made great strides in modeling space, time, mass and energy in the recent years at a neck-breaking pace, accelerated by computational advancement. Yet little attention has been paid to the digital representation of this information and knowledge, in terms of storage capacity, information efficiency, reliability, and security.Extracted from a series of peer-reviewed papers published by the authors, Introduction to Evolutionary Informatics puts together results in information theory that now allow meaning and design difficulty to be measured, ranging across a wider spectrum of subjects — from biology to bit units.Introduction to Evolutionary Informatics will appeal to enthusiasts in science, engineering and apologetics, as well as those interested in the information-theoretic components of closely examined evolution. The book is written at a level understandable to readers with knowledge of rudimentary high school math.

Introduction To Evolutionary Computing

Author: A.E. Eiben
Publisher: Springer Science & Business Media
ISBN: 3540401849
Size: 13.90 MB
Format: PDF, ePub, Docs
View: 22

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.

An Introduction To Nursing Informatics

Author: Sue Houston
Publisher:
ISBN: 1938904826
Size: 20.12 MB
Format: PDF, ePub
View: 66

This book is the ideal gateway to all the professional possibilities this continuously evolving discipline has to offer. Describing the evolution of nursing informatics from its origins to current practice in today's complex, diverse healthcare environment, this book offers the next generation of nurse informaticists a keen understanding of the discipline, best practices, and its scope of influence in healthcare. The book also explores Nursing Informatics as it is practiced today, including technology creation and implementation and the development of influential policies and best practices. Special features include 15 essays from nurses in myriad fields of influence, including academia, research, clinical settings, the executive suite, consulting, and government, as well as an Appendix featuring case profiles with questions listed by chapter

Introduction To Evolutionary Algorithms

Author: Xinjie Yu
Publisher: Springer Science & Business Media
ISBN: 1849961298
Size: 17.66 MB
Format: PDF, Docs
View: 35

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.

Biomacromolecules

Author: C. Stan Tsai
Publisher: John Wiley & Sons
ISBN: 9780470080115
Size: 14.79 MB
Format: PDF, Mobi
View: 64

This book provides an integrated treatment of the structure and function of nucleic acids, proteins, and glycans, including thorough coverage of relevant computational biochemistry. The text begins with an introduction to the biomacromolecules, followed by discussion of methods of isolation and purification, physiochemical and biochemical properties, and structural characteristics. The next section of the book deals with sequence analysis, analysis of conformation using spectroscopy, chemical synthesis, and computational approaches. The following chapters discuss biomolecular interactions, enzyme action, gene transmission, signal transduction, and biomacromolecular informatics. The author concludes with presenting the latest findings in genomics, proteomics, glycomics, and biomacromolecular evolution. This text is an invaluable resource for research professionals wishing to move into genomics, proteomics, and glycomics research. It is also useful for students in biochemistry, molecular biology, bioengineering, biotechnology, and bioinformatics.