Resource scheduling method and related equipment thereof

Abstract

The invention discloses a resource scheduling method and related equipment thereof. In the method, the method comprises the steps of obtaining multiple parts of task information; the method comprisesthe following steps: firstly, screening out each part of task information meeting a preset condition through a constraint embedding layer in a resource scheduling device; then, a first feedforward network module, a relation extraction module and a second feedforward network module in the resource scheduling device perform feature extraction and calculation on the part of task information to obtainthe matching degree of each part of task information meeting a preset condition; because the matching degree can be used for indicating the matching degree between the candidate distribution resources and the distribution task, the target distribution resource used for executing the distribution task can be determined in the plurality of candidate distribution resources based on the matching degree. According to the method, the matching degree between the candidate distribution resources and the distribution task can be determined through the resource scheduling device, and then the target distribution resource used for executing the distribution task is determined from the plurality of candidate distribution resources, so that the distribution resources can be effectively utilized, and the situation of waste of the distribution resources is avoided.

Description

technical field [0001] The present application relates to the technical field of intelligent planning, in particular to a resource scheduling method and related equipment. Background technique [0002] The dynamic pickup and delivery problem (dynamic pickup and delivery problem) widely exists in real life. The main goal of this type of problem is to assign the dynamically generated delivery tasks to appropriate delivery resources (for example, delivery vehicles) through a certain scheduling method. , distribution personnel, etc.), to complete as many distribution tasks as possible with the lowest possible scheduling cost. [0003] When a traditional scheduling method assigns a delivery task, it usually pushes the delivery task to multiple delivery resources, and each delivery resource independently judges whether to accept the delivery task according to its own conditions, that is, completes the distribution of the delivery task through the order grabbing system . [0004]...

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Problems solved by technology

[0004] However, the above-mentioned scheduling method relies heavily on personal experience, and there may be phenomena such as picking orders and grabbing orders, which leads to the fact that the distribution resources that finally accept the delivery task are not the optimal distribution resources, and the distribution resources cannot be rationally utilized and optimized as a whole, resulting in waste of

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