Genetic Algorithm

Genetic algorithms are a class of algorithms that take inspiration from genetics. They simulate the process of natural selection to find solutions to optimization problems through a sequence of steps that starts with randomly creating a population of potential routes, calculating the distance of each solution (route), and selecting the best solutions via a fitness function. The fitness of each solution is the trip’s total distance. The best solutions are combined to create new solutions, and the process will be repeated until a satisfactory solution is found.

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