Genetic And Evolutionary Computation

Author : Stephen L. Smith,Stefano Cagnoni
Publisher : John Wiley & Sons
Page : 249 pages
File Size : 47,8 Mb
Release : 2011-07-26
Category : Science
ISBN : 9781119956785

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Genetic and Evolutionary Computation by Stephen L. Smith,Stefano Cagnoni Pdf

Genetic and Evolutionary Computation: Medical Applications provides an overview of the range of GEC techniques being applied to medicine and healthcare in a context that is relevant not only for existing GEC practitioners but also those from other disciplines, particularly health professionals. There is rapidly increasing interest in applying evolutionary computation to problems in medicine, but to date no text that introduces evolutionary computation in a medical context. By explaining the basic introductory theory, typical application areas and detailed implementation in one coherent volume, this book will appeal to a wide audience from software developers to medical scientists. Centred around a set of nine case studies on the application of GEC to different areas of medicine, the book offers an overview of applications of GEC to medicine, describes applications in which GEC is used to analyse medical images and data sets, derive advanced models, and suggest diagnoses and treatments, finally providing hints about possible future advancements of genetic and evolutionary computation in medicine. Explores the rapidly growing area of genetic and evolutionary computation in context of its viable and exciting payoffs in the field of medical applications. Explains the underlying theory, typical applications and detailed implementation. Includes general sections about the applications of GEC to medicine and their expected future developments, as well as specific sections on applications of GEC to medical imaging, analysis of medical data sets, advanced modelling, diagnosis and treatment. Features a wide range of tables, illustrations diagrams and photographs.

Author : Agoston E. Eiben,J.E. Smith
Publisher : Springer Science & Business Media
Page : 307 pages
File Size : 53,7 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662050941

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Introduction to Evolutionary Computing by Agoston E. Eiben,J.E. Smith Pdf

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.

Author : Kenneth A. De Jong
Publisher : MIT Press
Page : 267 pages
File Size : 44,8 Mb
Release : 2006-02-03
Category : Computers
ISBN : 9780262041942

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Evolutionary Computation by Kenneth A. De Jong Pdf

This text is an introduction to the field of evolutionary computation. It approaches evolution strategies and genetic programming, as instances of a more general class of evolutionary algorithms.

Author : Stefano Cagnoni
Publisher : Hindawi Publishing Corporation
Page : 473 pages
File Size : 47,6 Mb
Release : 2008
Category : Computer vision
ISBN : 9789774540011

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Genetic and Evolutionary Computation for Image Processing and Analysis by Stefano Cagnoni Pdf

Author : Daniel Shiffman
Publisher : No Starch Press
Page : 0 pages
File Size : 44,8 Mb
Release : 2024-09-03
Category : Computers
ISBN : 9781718503717

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The Nature of Code by Daniel Shiffman Pdf

All aboard The Coding Train! This beginner-friendly creative coding tutorial is designed to grow your skills in a fun, hands-on way as you build simulations of real-world phenomena with “The Coding Train” YouTube star Daniel Shiffman. How can we use code to capture the unpredictable properties of nature? How can understanding the mathematical principles behind our physical world help us create interesting digital environments? Written by “The Coding Train” YouTube star Daniel Shiffman, The Nature of Code is a beginner-friendly creative coding tutorial that explores a range of programming strategies for developing computer simulations of natural systems—from elementary concepts in math and physics to sophisticated machine-learning algorithms. Using the same enthusiastic style on display in Shiffman’s popular YT channel, this book makes learning to program fun, empowering you to generate fascinating graphical output while refining your problem-solving and algorithmic-thinking skills. You’ll progress from building a basic physics engine that simulates the effects of forces like gravity and wind resistance, to creating evolving systems of intelligent autonomous agents that can learn from their mistakes and adapt to their environment. The Nature of Code introduces important topics such as: Randomness Forces and vectors Trigonometry Cellular automata and fractals Genetic algorithms Neural networks Learn from an expert how to transform your beginner-level skills into writing well-organized, thoughtful programs that set the stage for further experiments in generative design. NOTE: All examples are written with p5.js, a JavaScript library for creative coding, and are available on the book's website.

Author : D. Dumitrescu,Beatrice Lazzerini,Lakhmi C. Jain,A. Dumitrescu
Publisher : CRC Press
Page : 424 pages
File Size : 40,7 Mb
Release : 2000-06-22
Category : Computers
ISBN : 0849305888

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Evolutionary Computation by D. Dumitrescu,Beatrice Lazzerini,Lakhmi C. Jain,A. Dumitrescu Pdf

Rapid advances in evolutionary computation have opened up a world of applications-a world rapidly growing and evolving. Decision making, neural networks, pattern recognition, complex optimization/search tasks, scheduling, control, automated programming, and cellular automata applications all rely on evolutionary computation. Evolutionary Computation presents the basic principles of evolutionary computing: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, learning classifier systems, population models, and applications. It includes detailed coverage of binary and real encoding, including selection, crossover, and mutation, and discusses the (m+l) and (m,l) evolution strategy principles. The focus then shifts to applications: decision strategy selection, training and design of neural networks, several approaches to pattern recognition, cellular automata, applications of genetic programming, and more.

Author : Anil Menon
Publisher : Springer Science & Business Media
Page : 271 pages
File Size : 54,9 Mb
Release : 2006-04-11
Category : Computers
ISBN : 9781402077821

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Frontiers of Evolutionary Computation by Anil Menon Pdf

Frontiers of Evolutionary Computation brings together eleven contributions by international leading researchers discussing what significant issues still remain unresolved in the field of Evolutionary Computation (Ee. They explore such topics as the role of building blocks, the balancing of exploration with exploitation, the modeling of EC algorithms, the connection with optimization theory and the role of EC as a meta-heuristic method, to name a few. The articles feature a mixture of informal discussion interspersed with formal statements, thus providing the reader an opportunity to observe a wide range of EC problems from the investigative perspective of world-renowned researchers. These prominent researchers include: Heinz M]hlenbein, Kenneth De Jong, Carlos Cotta and Pablo Moscato, Lee Altenberg, Gary A. Kochenberger, Fred Glover, Bahram Alidaee and Cesar Rego, William G. Macready, Christopher R. Stephens and Riccardo Poli, Lothar M. Schmitt, John R. Koza, Matthew J. Street and Martin A. Keane, Vivek Balaraman, Wolfgang Banzhaf and Julian Miller.

Author : Tetsuya Higuchi,Xin Yao
Publisher : Springer Science & Business Media
Page : 227 pages
File Size : 44,7 Mb
Release : 2006-11-02
Category : Computers
ISBN : 9780387312385

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Evolvable Hardware by Tetsuya Higuchi,Xin Yao Pdf

Evolvable hardware (EHW) refers to hardware whose architecture/structure and functions change dynamically and autonomously in order to improve its performance in carrying out tasks. The only single resource presenting both the fundamentals, and the latest advances in the field, this book teaches the basics of reconfigurable devices, why they are necessary and how they are designed.

Author : Wolfgang Banzhaf,Erik Goodman,Leigh Sheneman,Leonardo Trujillo,Bill Worzel
Publisher : Springer Nature
Page : 409 pages
File Size : 45,7 Mb
Release : 2020-05-07
Category : Computers
ISBN : 9783030399580

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Genetic Programming Theory and Practice XVII by Wolfgang Banzhaf,Erik Goodman,Leigh Sheneman,Leonardo Trujillo,Bill Worzel Pdf

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Author : Kalyanmoy Deb,Riccardo Poli,Wolfgang Banzhaf,Hans-Georg Beyer,Edmund Burke,Paul Darwen,Dipankar Dasgupta,Dario Floreano,James A. Foster,Mark Harman,Owen Holland,Pier Luca Lanzi,Lee Spector,Andrea Tettamanzi,Dirk Thierens,Andy Tyrrell
Publisher : Springer
Page : 1448 pages
File Size : 51,6 Mb
Release : 2004-06-01
Category : Computers
ISBN : 9783540248545

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Genetic and Evolutionary Computation — GECCO 2004 by Kalyanmoy Deb,Riccardo Poli,Wolfgang Banzhaf,Hans-Georg Beyer,Edmund Burke,Paul Darwen,Dipankar Dasgupta,Dario Floreano,James A. Foster,Mark Harman,Owen Holland,Pier Luca Lanzi,Lee Spector,Andrea Tettamanzi,Dirk Thierens,Andy Tyrrell Pdf

The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.

Author : Erick Cantú-Paz
Publisher : Springer Science & Business Media
Page : 1294 pages
File Size : 49,7 Mb
Release : 2003-07-08
Category : Computers
ISBN : 9783540406020

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Genetic and Evolutionary Computation--GECCO 2003 by Erick Cantú-Paz Pdf

The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionaty Computation Conference, GECCO 2003, held in Chicago, IL, USA in July 2003. The 193 revised full papers and 93 poster papers presented were carefully reviewed and selected from a total of 417 submissions. The papers are organized in topical sections on a-life adaptive behavior, agents, and ant colony optimization; artificial immune systems; coevolution; DNA, molecular, and quantum computing; evolvable hardware; evolutionary robotics; evolution strategies and evolutionary programming; evolutionary sheduling routing; genetic algorithms; genetic programming; learning classifier systems; real-world applications; and search based softare engineering.

Author : Franz Rothlauf
Publisher : Physica
Page : 295 pages
File Size : 53,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642880940

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Representations for Genetic and Evolutionary Algorithms by Franz Rothlauf Pdf

In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem representation has often been taken as given. This monograph breaks with this tradition and studies a number of critical elements of a theory of representations for GEAs and applies them to the empirical study of various important idealized test functions and problems of commercial import. The book considers basic concepts of representations, such as redundancy, scaling and locality and describes how GEAs'performance is influenced. Using the developed theory representations can be analyzed and designed in a theory-guided manner. The theoretical concepts are used as examples for efficiently solving integer optimization problems and network design problems. The results show that proper representations are crucial for GEAs'success.

Author : Markus F. Brameier,Wolfgang Banzhaf
Publisher : Springer Science & Business Media
Page : 323 pages
File Size : 43,9 Mb
Release : 2007-02-25
Category : Computers
ISBN : 9780387310305

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Linear Genetic Programming by Markus F. Brameier,Wolfgang Banzhaf Pdf

Linear Genetic Programming presents a variant of Genetic Programming that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Typical GP phenomena, such as non-effective code, neutral variations, and code growth are investigated from the perspective of linear GP. This book serves as a reference for researchers; it includes sufficient introductory material for students and newcomers to the field.

Author : Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Publisher : Springer Science & Business Media
Page : 810 pages
File Size : 53,8 Mb
Release : 2007-08-26
Category : Computers
ISBN : 9780387367972

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Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen Pdf

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

Author : Jeng-Shyang Pan,Jerry Chun-Wei Lin,Yongquan Liang,Shu-Chuan Chu
Publisher : Springer Nature
Page : 587 pages
File Size : 54,9 Mb
Release : 2020-03-12
Category : Technology & Engineering
ISBN : 9789811533082

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Genetic and Evolutionary Computing by Jeng-Shyang Pan,Jerry Chun-Wei Lin,Yongquan Liang,Shu-Chuan Chu Pdf

This book gathers papers presented at the 13th International Conference on Genetic and Evolutionary Computing (ICGEC 2019), which was held in Qingdao, China, from 1st to 3rd, November 2019. Since it was established, in 2006, the ICGEC conference series has been devoted to new approaches with a focus on evolutionary computing. Today, it is a forum for the researchers and professionals in all areas of computational intelligence including evolutionary computing, machine learning, soft computing, data mining, multimedia and signal processing, swarm intelligence and security. The book appeals to policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, and other professionals in the learning industry, and further and continuing education.