Genetic Algorithm Essentials
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Genetic Algorithm Essentials
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Author : Oliver Kramer
language : en
Publisher: Springer
Release Date : 2017-01-07
Genetic Algorithm Essentials written by Oliver Kramer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-07 with Technology & Engineering categories.
This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.
Genetic Algorithms In Java Basics
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Author : Lee Jacobson
language : en
Publisher: Apress
Release Date : 2015-11-28
Genetic Algorithms In Java Basics written by Lee Jacobson and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-28 with Computers categories.
Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions written in the Java programming language. This brief book will guide you step-by-step through various implementations of genetic algorithms and some of their common applications, with the aim to give you a practical understanding allowing you to solve your own unique, individual problems. After reading this book you will be comfortable with the language specific issues and concepts involved with genetic algorithms and you'll have everything you need to start building your own. Genetic algorithms are frequently used to solve highly complex real world problems and with this book you too can harness their problem solving capabilities. Understanding how to utilize and implement genetic algorithms is an essential tool in any respected software developers toolkit. So step into this intriguing topic and learn how you too can improve your software with genetic algorithms, and see real Java code at work which you can develop further for your own projects and research. Guides you through the theory behind genetic algorithms Explains how genetic algorithms can be used for software developers trying to solve a range of problems Provides a step-by-step guide to implementing genetic algorithms in Java
Practical Genetic Algorithms
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Author : Randy L. Haupt
language : en
Publisher: John Wiley & Sons
Release Date : 2004-07-30
Practical Genetic Algorithms written by Randy L. Haupt and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-30 with Technology & Engineering categories.
* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition
Essentials Of Metaheuristics Second Edition
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Author : Sean Luke
language : en
Publisher:
Release Date : 2012-12-20
Essentials Of Metaheuristics Second Edition written by Sean Luke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-20 with Algorithms categories.
Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and Two-Population Competitive Coevolution, N-Population Cooperative Coevolution, Implicit Fitness Sharing, Deterministic Crowding, NSGA-II, SPEA2, GRASP, Ant Colony Optimization variants, Guided Local Search, LEM, PBIL, UMDA, cGA, BOA, SAMUEL, ZCS, XCS, and XCSF.
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.
An Insight On Essential Of Genetic Algorithm Ga
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Author : R Kavitha
language : en
Publisher:
Release Date : 2020-12-26
An Insight On Essential Of Genetic Algorithm Ga written by R Kavitha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-26 with categories.
Genetic algorithms deals with one of the branches of the case study called Evolutionary Computation. In that they mimic the biological process of reproduction and natural selection to solve for the 'fittest' solutions. Genetic algorithms are commonly used to generate superlative solutions to optimize and search problems by relying on biologically inspired operators such as Initialization, crossover, mutation and selection. The main objective of this book is to discuss in detail about Genetic Algorithm (GA) and the classifications of genetic operators with examples which will be nifty for the readers to understand the concept more precisely and concurrently. I will be grateful to all who are offering valuable suggestions and comments. My sincere thanks to the publisher for their support in bringing up this book for publication.
Genetic Algorithms And Engineering Design
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Author : Mitsuo Gen
language : en
Publisher: John Wiley & Sons
Release Date : 1997-01-21
Genetic Algorithms And Engineering Design written by Mitsuo Gen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01-21 with Technology & Engineering categories.
The last few years have seen important advances in the use ofgenetic algorithms to address challenging optimization problems inindustrial engineering. Genetic Algorithms and Engineering Designis the only book to cover the most recent technologies and theirapplication to manufacturing, presenting a comprehensive and fullyup-to-date treatment of genetic algorithms in industrialengineering and operations research. Beginning with a tutorial on genetic algorithm fundamentals andtheir use in solving constrained and combinatorial optimizationproblems, the book applies these techniques to problems in specificareas--sequencing, scheduling and production plans, transportationand vehicle routing, facility layout, location-allocation, andmore. Each topic features a clearly written problem description,mathematical model, and summary of conventional heuristicalgorithms. All algorithms are explained in intuitive, rather thanhighly-technical, language and are reinforced with illustrativefigures and numerical examples. Written by two internationally acknowledged experts in the field,Genetic Algorithms and Engineering Design features originalmaterial on the foundation and application of genetic algorithms,and also standardizes the terms and symbols used in othersources--making this complex subject truly accessible to thebeginner as well as to the more advanced reader. Ideal for both self-study and classroom use, this self-containedreference provides indispensable state-of-the-art guidance toprofessionals and students working in industrial engineering,management science, operations research, computer science, andartificial intelligence. The only comprehensive, state-of-the-arttreatment available on the use of genetic algorithms in industrialengineering and operations research . . . Written by internationally recognized experts in the field ofgenetic algorithms and artificial intelligence, Genetic Algorithmsand Engineering Design provides total coverage of currenttechnologies and their application to manufacturing systems.Incorporating original material on the foundation and applicationof genetic algorithms, this unique resource also standardizes theterms and symbols used in other sources--making this complexsubject truly accessible to students as well as experiencedprofessionals. Designed for clarity and ease of use, thisself-contained reference: * Provides a comprehensive survey of selection strategies, penaltytechniques, and genetic operators used for constrained andcombinatorial optimization problems * Shows how to use genetic algorithms to make production schedules,solve facility/location problems, make transportation/vehiclerouting plans, enhance system reliability, and much more * Contains detailed numerical examples, plus more than 160auxiliary figures to make solution procedures transparent andunderstandable
Genetic Algorithms And Genetic Programming
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Author : Michael Affenzeller
language : en
Publisher: CRC Press
Release Date : 2009-04-09
Genetic Algorithms And Genetic Programming written by Michael Affenzeller and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-09 with Computers categories.
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al
Genetic Algorithms
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Author : Kim-Fung Man
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-02-19
Genetic Algorithms written by Kim-Fung Man 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 2001-02-19 with Mathematics categories.
This comprehensive book gives a overview of the latest discussions in the application of genetic algorithms to solve engineering problems. Featuring real-world applications and an accompanying disk, giving the reader the opportunity to use an interactive genetic algorithms demonstration program.
Practical Handbook Of Genetic Algorithms
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Author : Lance D. Chambers
language : en
Publisher: CRC Press
Release Date : 2019-09-17
Practical Handbook Of Genetic Algorithms written by Lance D. Chambers and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-17 with Computers categories.
Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field. Each contribution of this singular resource includes: unique code segments documentation descripti
