A genetic algorithm (GA) is a search heuristic inspired by the process of natural selection and genetics. It is used to solve optimization and search problems by mimicking the principles of biological evolution. Here's a breakdown of how it works: 1. **Initialization**: A population of potential solutions, often represented as strings or arrays (analogous to chromosomes), is generated randomly.
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