A method and device for implementing logistics allocation
An implementation method and a logistics technology, applied in the field of the Internet of Things, can solve problems such as not taking into account the characteristics of deployment status changes, program adjustments, and low performance efficiency
Active Publication Date: 2016-05-18
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology
Some of the current logistics allocation algorithms use non-heuristic traditional algorithms, which have low efficiency in performance, while other heuristic algorithms with better performance do not take into account the changing characteristics of the allocation state, so they cannot be timely and dynamically The adjustment of the plan has led to the inefficiency of the logistics deployment plan
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[0083]The present invention adopts a dynamic and improved ant colony algorithm for dynamic optimization of deployment schemes, and the algorithm is a heuristic algorithm. Heuristic algorithm, also known as intelligent computing, also known as "soft computing", is an algorithm that people are inspired by the laws of nature and imitate and solve problems according to the laws of nature. This type of algorithm has good global optimization performance, strong robustness, and strong versatility , suitable for parallel processing and other advantages, and because of the advantages of efficient optimization performance and no need for problem-specific information, it has been widely used in computer science, optimal scheduling, transportation problems, combinatorial optimization and other fields. Ant colony algorithm (ant colony algorithm) was first proposed by Italian scholars Dorigo, Maniezzo and others in the early 1990s. Ant colony algorithm is another heuristic search algorithm ...
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The invention discloses a method and device for realizing logistics deployment, which generates a mathematical model for realizing logistics deployment through logistics deployment constraint modeling, deployment station distance modeling, and logistics deployment algorithm modeling; on the basis of the mathematical model The ant colony algorithm is used to allocate logistics. The technology for realizing logistics deployment of the present invention can generate a mathematical model for realizing logistics deployment through logistics deployment constraint modeling, deployment station distance modeling, and logistics deployment algorithm modeling; and based on the mathematical model, ant colonies are applied The algorithm allocates logistics, so it can generate a nearly optimal logistics allocation plan in the minimum quantity and minimum range, which can greatly improve the efficiency of logistics allocation and save logistics allocation costs.
Description
technical field [0001] The invention relates to the Internet of Things technology, in particular to a method and device for realizing logistics allocation. Background technique [0002] The optimization of logistics allocation plan belongs to the category of combinatorial optimization, which is a non-deterministic polynomial (NP) problem, and the solution to this problem is a major research hotspot. In addition, because the actual state of logistics allocation is in dynamic changes, it is required that the combinatorial optimization algorithm should not only have good performance, but also be able to adapt to the changing characteristics of dynamic allocation. Some of the current logistics allocation algorithms use non-heuristic traditional algorithms, which have low efficiency in performance, while other heuristic algorithms with better performance do not take into account the changing characteristics of the allocation state, so they cannot be timely and dynamically The ad...
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IPC IPC(8): G06F17/00G06Q10/08G06Q50/28
Inventor 夏亚梅
Owner BEIJING UNIV OF POSTS & TELECOMM