genetic algorithm knapsack problem python

The knapsack problem is a classic optimization problem where the goal is to select a subset of items with maximum total value, subject to a constraint on the total weight. The genetic algorithm is a heuristic search algorithm inspired by the process of natural selection that can be applied to solve optimization problems, including the knapsack problem. In this tutorial, we'll implement a genetic algorithm to solve the knapsack problem using Python.
This Python code defines a simple genetic algorithm to solve the knapsack problem. You can customize the max_weight and items variables to represent your specific knapsack problem instance. The algorithm will evolve a population of solutions over a number of generations and output the best solution found.
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