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Method and device for realization of logistics and allocation

An implementation method and logistics technology, applied in the field of Internet of Things, can solve the problems of not taking into account the changing characteristics of the deployment state, the adjustment of the plan, and the inefficiency of the logistics deployment plan.

Active Publication Date: 2013-08-14
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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  • Method and device for realization of logistics and allocation
  • Method and device for realization of logistics and allocation
  • Method and device for realization of logistics and allocation

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Embodiment Construction

[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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Abstract

The invention discloses a method and a device for realization of logistics allocation. The method comprises the following steps: generating a math model used for realizing logistics allocation through logistics allocation constraint condition modeling, allocation station distance modeling, logistics allocation algorithm modeling; and applying ant colony algorithm on the basis of the math models to allocate logistics. The technology for realization of logistics allocation, disclosed by the invention, can generate a math model used for realizing logistics allocation through logistics allocation constraint condition modeling, allocation station distance modeling, logistics allocation algorithm modeling, and apply ant colony algorithm on the basis of the math models to allocate logistics, so as to generate near-optimal logistics allocation scheme at minimal amount and range, which increases the logistics allocation efficiency and saves logistics allocation cost to a large extent.

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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Application Information

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IPC IPC(8): G06Q10/08G06Q50/28
Inventor 夏亚梅
Owner BEIJING UNIV OF POSTS & TELECOMM
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