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Optimized Genetic Programming Applications: Emerging Research and Opportunities

2018-07-06 Medical
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Release : 2018-07-06
Genre : Medical
Kind : eBook
Book Rating : 068/5 ( reviews)

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Book Synopsis Optimized Genetic Programming Applications: Emerging Research and Opportunities by : Hrnjica, Bahrudin

Download or read book Optimized Genetic Programming Applications: Emerging Research and Opportunities written by Hrnjica, Bahrudin. This book was released on 2018-07-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms

2020-12-05 Computers
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Release : 2020-12-05
Genre : Computers
Kind : eBook
Book Rating : 990/5 ( reviews)

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Book Synopsis Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms by : Management Association, Information Resources

Download or read book Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms written by Management Association, Information Resources. This book was released on 2020-12-05. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Genetic Algorithms

2007-10-24 Technology & Engineering
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Release : 2007-10-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 903/5 ( reviews)

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Book Synopsis Introduction to Genetic Algorithms by : S.N. Sivanandam

Download or read book Introduction to Genetic Algorithms written by S.N. Sivanandam. This book was released on 2007-10-24. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

Linear Genetic Programming

2007-02-25 Computers
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Release : 2007-02-25
Genre : Computers
Kind : eBook
Book Rating : 304/5 ( reviews)

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Book Synopsis Linear Genetic Programming by : Markus F. Brameier

Download or read book Linear Genetic Programming written by Markus F. Brameier. This book was released on 2007-02-25. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Genetic Programming Applications

2015-11-06 Computers
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Release : 2015-11-06
Genre : Computers
Kind : eBook
Book Rating : 837/5 ( reviews)

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Book Synopsis Handbook of Genetic Programming Applications by : Amir H. Gandomi

Download or read book Handbook of Genetic Programming Applications written by Amir H. Gandomi. This book was released on 2015-11-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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