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.