A complete walkthrough on constructing a Genetic Algorithm in Python, inspired by natural selection, with a real-world application. Includes steps to build a Genetic Algorithm, including creating a population, defining fitness functions, applying selection, crossover, and mutation operators, and iterating these processes until an optimal solution is reached. T
