Intelligent algorithm for solving a multi-objective MDVRPTW (Multi-Depot Vehicle Routing Problem with Time Window)
A technology of vehicle routing problem and intelligent algorithm, which is applied in the field of intelligent algorithm for solving multi-objective multi-parking vehicle routing problem with time window, and can solve problems with high difficulty
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2017-05-10
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention relates to the field of logistics scheduling algorithms, and more specifically, relates to an intelligent algorithm for solving multi-objective multi-depot vehicle routing problems with time windows. Background technique
[0002] Logistics is the tertiary industry and an important industry related to the country's economic development. Especially with the improvement of living standards and the development of e-commerce, the development of logistics industry has been paid more and more attention. As an important part of logistics distribution, Vehicle Routing Problem (VRP) is a research topic with high practical significance. Among the vehicle routing problems, the multi-depot vehicle routing problem with time windows (MDVRPTW) is an important variant. Many delivery scenarios in real life can be abstracted as MDVRPTW. In this problem, the existence of multiple parking lots and the existence of customer time windows make the solution of...
Examples
Embodiment 1
[0053]In multi-objective MDVRPTW, each vehicle departs from a depot, and finally returns to the depot after serving a certain number of customers. Vehicles have a fixed capacity limit, and each customer has a fixed service demand and service time window. Since the soft time window is beneficial to cost optimization, reasonable delay of customer service time is allowed in this MDVRTTW model. In this algorithm, all solutions are required to be legal solutions.
[0054] Figure 1-2 Shown is a solution and its encoded representation. Each parking lot has several paths, and the rth path of the dth parking lot is expressed as The set of all paths is denoted as R, and the set of all paths of the d-th parking lot is R d , the set of all parking lots is denoted as D. In this multi-objective MDVRPTW model, the optimization objective is
[0055] min F=(f 1 , f 2 , f 3 , f 4 , f 5 )
[0056] What each goal represents and how it is assessed are as follows.
[0057] f 1 is th...