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

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

Copyright: © 2021 |Pages: 1534
ISBN13: 9781799880486|ISBN10: 1799880486|EISBN13: 9781799880998
DOI: 10.4018/978-1-7998-8048-6
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MLA

Management Association, Information Resources, editor. Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms. IGI Global, 2021. https://doi.org/10.4018/978-1-7998-8048-6

APA

Management Association, I. (Ed.). (2021). Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms. IGI Global. https://doi.org/10.4018/978-1-7998-8048-6

Chicago

Management Association, Information Resources, ed. Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-8048-6

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Editorial Advisory Board
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Preface
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Chapters
Chapter 1
Fundamental Concepts and Theories
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Chapter 2
Development and Design Methodologies
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Chapter 3
Tools and Technologies  (pages 426-426)
Tools and Technologies
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Chapter 4
Utilization and Applications
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Chapter 5
Organizational and Social Implications
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Chapter 6
Critical Issues and Challenges
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Chapter 7
Emerging Trends  (pages 1430-1430)
Emerging Trends
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Back Materials
Index
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