Linear Genetic Programming
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Linear Genetic Programming
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Author : Markus F. Brameier
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-02-25
Linear Genetic Programming written by Markus F. Brameier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-25 with Computers categories.
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.
On Linear Genetic Programming
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Author : Markus Brameier
language : en
Publisher:
Release Date : 2004
On Linear Genetic Programming written by Markus Brameier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
A Field Guide To Genetic Programming
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Author :
language : en
Publisher: Lulu.com
Release Date : 2008
A Field Guide To Genetic Programming written by and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.
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.
Genetic Programming Theory And Practice Xiv
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Author : Rick Riolo
language : en
Publisher: Springer
Release Date : 2018-10-24
Genetic Programming Theory And Practice Xiv written by Rick Riolo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with Computers categories.
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. Chapters in this volume include: Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression Hybrid Structural and Behavioral Diversity Methods in GP Multi-Population Competitive Coevolution for Anticipation of Tax Evasion Evolving Artificial General Intelligence for Video Game Controllers A Detailed Analysis of a PushGP Run Linear Genomes for Structured Programs Neutrality, Robustness, and Evolvability in GP Local Search in GP PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification Relational Structure in Program Synthesis Problems with Analogical Reasoning An Evolutionary Algorithm for Big Data Multi-Class Classification Problems A Generic Framework for Building Dispersion Operators in the Semantic Space Assisting Asset Model Development with Evolutionary Augmentation Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool 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.
Effective Linear Genetic Programming
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Author : Markus Brameier
language : en
Publisher:
Release Date : 2001
Effective Linear Genetic Programming written by Markus Brameier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
Genetic Programming
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Author : Sebastian Ventura Soto
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-10-18
Genetic Programming written by Sebastian Ventura Soto and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-18 with Computers categories.
Genetic programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms for solving problems in the artificial intelligence field, producing a number of human-competitive results and even patentable new inventions. And, as other areas in Computer Science, GP continues evolving quickly, with new ideas, techniques and applications being constantly proposed. The purpose of this book is to show recent advances in the field of GP, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems. The volume is primarily aimed at postgraduates, researchers and academics, although it is hoped that it may be useful to undergraduates who wish to learn about the leading techniques in GP.
Linear Genetic Programming With Experience
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Author : Liang Liu
language : en
Publisher:
Release Date : 2015
Linear Genetic Programming With Experience written by Liang Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computer software categories.
Genetic Algorithm
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-01
Genetic Algorithm 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 Genetic Algorithm In the fields of computer science and operations research, a genetic algorithm (GA) is a metaheuristic that is modeled after the process of natural selection and is a subcategory of evolutionary algorithms (EA), which are a broader category. By relying on biologically inspired operators like mutation, crossover, and selection, genetic algorithms are often employed to develop high-quality solutions to optimization and search problems. This is accomplished through the use of genetic programming. Applications of GA include, but are not limited to, improving the efficiency of decision trees through optimization, deciphering sudoku puzzles, optimizing hyperparameters, drawing causal inferences, and other similar tasks. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Genetic algorithm Chapter 2: Genetic programming Chapter 3: Particle filter Chapter 4: Schema (genetic algorithms) Chapter 5: Universal Darwinism Chapter 6: Metaheuristic Chapter 7: Learning classifier system Chapter 8: Rule-based machine learning Chapter 9: Genetic representation Chapter 10: Fitness function (II) Answering the public top questions about genetic algorithm. (III) Real world examples for the usage of genetic algorithm in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of genetic algorithm' technologies. 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 genetic algorithm.
Genetic Programming
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-01
Genetic 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 Genetic Programming In the field of artificial intelligence, genetic programming, abbreviated GP, is a method for making a population of unsuited programs evolve into programs that are more suited to a certain task. This is accomplished by applying operations that are equivalent to natural genetic processes to the population of programs. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Genetic programming Chapter 2: Bio-inspired computing Chapter 3: CMA-ES Chapter 4: Fitness approximation Chapter 5: Gene expression programming Chapter 6: Genetic representation Chapter 7: Grammatical evolution Chapter 8: Inductive programming Chapter 9: Linear genetic programming Chapter 10: Multi expression programming (II) Answering the public top questions about genetic programming. (III) Real world examples for the usage of genetic programming in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of genetic programming' technologies. 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 genetic programming.
