Handbook Of Genetic Programming Applications PDF Download
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| Author | : Amir H. Gandomi |
| Publisher | : Springer |
| Total Pages | : 589 |
| Release | : 2015-11-06 |
| Genre | : Computers |
| ISBN | : 3319208837 |
Download Handbook of Genetic Programming Applications Book in PDF, ePub and Kindle
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.
| Author | : Hrnjica, Bahrudin |
| Publisher | : IGI Global |
| Total Pages | : 310 |
| Release | : 2018-07-06 |
| Genre | : Medical |
| ISBN | : 1522560068 |
Download Optimized Genetic Programming Applications: Emerging Research and Opportunities Book in PDF, ePub and Kindle
Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data. Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.
| Author | : Lance D. Chambers |
| Publisher | : CRC Press |
| Total Pages | : 464 |
| Release | : 2019-09-17 |
| Genre | : Mathematics |
| ISBN | : 1420050079 |
Download The Practical Handbook of Genetic Algorithms Book in PDF, ePub and Kindle
The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism
| Author | : Markus F. Brameier |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 323 |
| Release | : 2007-02-25 |
| Genre | : Computers |
| ISBN | : 0387310304 |
Download Linear Genetic Programming Book in PDF, ePub and Kindle
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 | : Lawrence Davis |
| Publisher | : Van Nostrand Reinhold Company |
| Total Pages | : 406 |
| Release | : 1991 |
| Genre | : Mathematics |
| ISBN | : |
Download Handbook of Genetic Algorithms Book in PDF, ePub and Kindle
| Author | : |
| Publisher | : Lulu.com |
| Total Pages | : 252 |
| Release | : 2008 |
| Genre | : Computers |
| ISBN | : 1409200736 |
Download A Field Guide to Genetic Programming Book in PDF, ePub and Kindle
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.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1534 |
| Release | : 2020-12-05 |
| Genre | : Computers |
| ISBN | : 1799880990 |
Download Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms Book in PDF, ePub and Kindle
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.
| Author | : Julian F. Miller |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 358 |
| Release | : 2011-09-18 |
| Genre | : Computers |
| ISBN | : 3642173101 |
Download Cartesian Genetic Programming Book in PDF, ePub and Kindle
Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype–phenotype mapping, in that genes can be noncoding. It has spawned a number of new forms, each improving on the efficiency, among them modular, or embedded, CGP, and self-modifying CGP. It has been applied to many problems in both computer science and applied sciences. This book contains chapters written by the leading figures in the development and application of CGP, and it will be essential reading for researchers in genetic programming and for engineers and scientists solving applications using these techniques. It will also be useful for advanced undergraduates and postgraduates seeking to understand and utilize a highly efficient form of genetic programming.
| Author | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 129 |
| Release | : 2023-07-01 |
| Genre | : Computers |
| ISBN | : |
Download Genetic Programming Book in PDF, ePub and Kindle
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.
| Author | : Wolfgang Banzhaf |
| Publisher | : Springer Nature |
| Total Pages | : 409 |
| Release | : 2020-05-07 |
| Genre | : Computers |
| ISBN | : 3030399583 |
Download Genetic Programming Theory and Practice XVII Book in PDF, ePub and Kindle
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.
