Logistics distribution optimization method based on genetic-simulated annealing combination algorithm
A combined algorithm and logistics distribution technology, applied in the field of logistics intelligent distribution, can solve the problems of high labor cost and poor timeliness, and achieve the effects of reasonable planning, performance improvement and mileage saving
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[0053] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0054] Such as figure 1 As shown, an optimization method for logistics distribution based on genetic-simulated annealing combination algorithm, including:
[0055] Step 1, obtain the coordinate data of individual customers and distribution centers, and encode the coordinate data to obtain the initial population.
[0056] Step 2, establish a mathematical model, the objective function Z of the mathematical model i for:
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[0067] Among them, the character O in the above formula represents the distribution center, n represents the number of customers, m represents the number of vehicles, D k The maximum load capacity of the kth car, DM k Indicates the maximum mileage of the kth vehicle, veh indicates the number of vehicles ac...
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