Genetic Algorithms and Genetic Programming
In this chapter, we are going to learn about genetic algorithms. First, we'll describe what a genetic algorithm is, then we will discuss the concepts of evolutionary algorithms and genetic programming and see how these relate to genetic algorithms. We will learn about the fundamental building blocks of genetic algorithms including crossover, mutation, and fitness functions. We will then use these concepts to build various systems.
By the end of this chapter, you will have a better understanding of the following:
- Evolutionary and genetic algorithms
- Fundamental concepts in genetic algorithms
- Generating bit patterns with predefined parameters
- Visualizing the progress of an evolution
- Solving the symbol regression problem
- Building an intelligent robot controller
