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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.
