Unlike static scheduling methods, evolutionary cargo routing algorithms apply nature-inspired optimization techniques: they generate an initial set of candidate transport routes and refine them through successive generations via selection (favouring lower-cost solutions), crossover (blending partial routes), and mutation (random variation).
Source: https://en.wikipedia.org/wiki/Vehicle_routing_problem
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