Hello I have a transportation company BK Grace
I am developing a delivery route optimization system for a transportation company and I want to use a genetic programming algorithm to find optimal routes. I have a set of points (addresses) and I need to determine the most efficient route to minimize the travel time and distance.
Which Python libraries are best suited for implementing a genetic algorithm? How can the algorithm parameters be adjusted correctly (for example, population size, number of generations, probability of mutation and crossover) to achieve the best results?
I would be grateful for any code examples or links to useful resources.
Example of input data:input data
My attempts:
I’ve tried using the deap library to implement a genetic algorithm, but so far I haven’t been able to configure it properly to get optimal results. deap
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