Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, VOL 1
| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 536 |
| Release | : 2021-01-25 |
| Genre | : |
| ISBN | : 9781668433294 |
Research Anthology On Multi Industry Uses Of Genetic Programming And Algorithms Vol 1
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Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1534 |
| Release | : 2020-12-05 |
| Genre | : Computers |
| ISBN | : 1799880990 |
Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and economics to business and management all the way to healthcare and the sciences. The use of genetic programming and algorithms goes beyond human capabilities, enhancing the business and processes of various essential industries and improving functionality along the way. The Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms covers the implementation, tools and technologies, and impact on society that genetic programming and algorithms have had throughout multiple industries. By taking a multi-industry approach, this book covers the fundamentals of genetic programming through its technological benefits and challenges along with the latest advancements and future outlooks for computer science. This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.
Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, VOL 2
| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 560 |
| Release | : 2021-01-25 |
| Genre | : |
| ISBN | : 9781668433300 |
Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, VOL 3
| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 556 |
| Release | : 2021-01-25 |
| Genre | : |
| ISBN | : 9781668433317 |
Genetic Programming Theory and Practice V
| Author | : Rick Riolo |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 290 |
| Release | : 2007-12-20 |
| Genre | : Computers |
| ISBN | : 0387763082 |
Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan’s Center for the Study of Complex Systems. It aims to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.
Genetic Programming Theory and Practice X
| Author | : Rick Riolo |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 260 |
| Release | : 2013-05-24 |
| Genre | : Computers |
| ISBN | : 1461468469 |
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. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. 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.
Genetic Programming Theory and Practice VII
| Author | : Rick Riolo |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 242 |
| Release | : 2009-11-07 |
| Genre | : Computers |
| ISBN | : 1441916261 |
Genetic Programming Theory and Practice VII presents the results of the annual Genetic Programming Theory and Practice Workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few. About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications, provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems. Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.
Genetic Algorithm
| Author | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 121 |
| Release | : 2023-07-01 |
| Genre | : Computers |
| ISBN | : |
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 Theory and Practice III
| Author | : Tina Yu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 321 |
| Release | : 2006-06-18 |
| Genre | : Computers |
| ISBN | : 0387281118 |
Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan's Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.
Industrial Applications of Genetic Algorithms
| Author | : Charles Karr |
| Publisher | : CRC Press |
| Total Pages | : 360 |
| Release | : 1998-12-29 |
| Genre | : Computers |
| ISBN | : 9780849398018 |
Genetic algorithms (GAs) are computer-based search techniques patterned after the genetic mechanisms of biological organisms that have adapted and flourished in changing, highly competitive environments for millions of years. GAs have been successfully applied to problems in a variety of studies, and their popularity continues to increase because of their effectiveness, applicability, and ease of use. Industrial Applications of Genetic Algorithms shows how GAs have made the leap form their origins in the laboratory to the practicing engineer's toolbox. Each chapter in the book describes a project completed by a graduate student at the University of Alabama.
