Genetic algorithms

Genetic algorithms (GAs) are a class of optimization algorithms inspired by the principles of natural evolution and genetics. They are part of a larger field known as evolutionary computation. The basic idea behind genetic algorithms is to mimic the process of natural selection to evolve solutions to problems over successive generations. Here's a brief overview of how genetic algorithms work: 1. **Population**: A genetic algorithm starts with an initial population of potential solutions (often represented as strings of bits, numbers, or other encoded forms).