Gene Expression Programming
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Gene Expression Programming
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Author : Candida Ferreira
language : en
Publisher: Springer
Release Date : 2006-08-29
Gene Expression Programming written by Candida Ferreira and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-29 with Computers categories.
Cândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists. This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes.
Gene Expression Programming
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-01
Gene Expression Programming written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-01 with Computers categories.
What Is Gene Expression Programming Gene expression programming, often known as GEP, is an evolutionary technique used in the field of computer programming that is used to construct computer programs or models. These computer programs take the form of complex tree structures that, in a manner analogous to that of real organisms, are able to learn and adapt by altering their sizes, forms, and composition. In addition, just like the chromosomes of real creatures, the GEP computer programs are encoded in simple linear chromosomes that are a predetermined length. GEP is an example of a genotype-phenotype system since it possesses both a simple genome for the purpose of storing and transmitting genetic information and a complex phenotype for the purpose of exploring the environment and adapting to it. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Gene expression programming Chapter 2: Symbolic regression Chapter 3: Decision tree Chapter 4: Evolutionary algorithm Chapter 5: Genetic algorithm Chapter 6: Genetic programming Chapter 7: Grammatical evolution Chapter 8: Artificial intelligence Chapter 9: Machine learning Chapter 10: Artificial neural network (II) Answering the public top questions about gene expression programming. (III) Real world examples for the usage of gene expression programming in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of gene expression programming. What is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Gene Expression Programming
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Author : Cândida Ferreira
language : en
Publisher:
Release Date : 2002
Gene Expression Programming written by Cândida Ferreira and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Gene expression categories.
Gene Expression Programming
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Author : Candida Ferreira
language : en
Publisher: Studies in Computational Intelligence
Release Date : 2006-05-24
Gene Expression Programming written by Candida Ferreira and has been published by Studies in Computational Intelligence this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-24 with Computers categories.
Cândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists. This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes. Cândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists. This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes.
Genetic Systems Programming
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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2008-07-21
Genetic Systems Programming written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-21 with Technology & Engineering categories.
Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.
Handbook Of Genetic Programming Applications
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Author : Amir H. Gandomi
language : en
Publisher: Springer
Release Date : 2015-11-06
Handbook Of Genetic Programming Applications written by Amir H. Gandomi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Computers categories.
This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications in a variety of fields, the information in this volume can help optimize computer programs throughout the sciences. Taking a hands-on approach, this book provides an invaluable reference to practitioners, providing the necessary details required for a successful application of GP and its branches to challenging problems ranging from drought prediction to trading volatility. It also demonstrates the evolution of GP through major developments in GP studies and applications. It is suitable for advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas, as well as experienced practitioners looking to apply GP to new areas. The book also offers valuable supplementary material for design courses and computation in engineering.
Intelligent Structure And Vibration Control
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Author : Shaobo Zhong
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2011-02-02
Intelligent Structure And Vibration Control written by Shaobo Zhong and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-02 with Technology & Engineering categories.
Selected, peer reviewed papers from the International Conference on Intelligent Structure and Vibration Control (ISVC) 2011, January 14-16, 2011, Chongqing, China
Gene Expression And Development
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Author : Gregory S. Whitt
language : en
Publisher: Alan R. Liss
Release Date : 1983
Gene Expression And Development written by Gregory S. Whitt and has been published by Alan R. Liss this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Science categories.
Robust Gene Expression Programming
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Author : Noah Shields Mensh Ryan
language : en
Publisher:
Release Date : 2011
Robust Gene Expression Programming written by Noah Shields Mensh Ryan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Genetic algorithms categories.
Genetic Programming
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Author :
language : en
Publisher:
Release Date : 2002
Genetic Programming written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Genetic programming (Computer science) categories.