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Airport freight station scheduling method based on adaptive group collaborative bee colony algorithm

A technology of bee colony algorithm and scheduling method, which is applied in computing, computing models, data processing applications, etc., and can solve problems such as low precision and low efficiency

Pending Publication Date: 2021-09-10
ZHONGYUAN ENGINEERING COLLEGE
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problems of low accuracy and low efficiency of airport freight station scheduling, the present invention proposes an airport freight station scheduling method based on adaptive group cooperative bee colony algorithm, and uses artificial bee colony algorithm for cargo in and out of airport freight station In the scheduling of sequence, ETV action sequence, etc., the artificial bee colony algorithm is improved from the two aspects of neighborhood search strategy and optimization mechanism to improve the accuracy and efficiency of airport cargo terminal scheduling

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  • Airport freight station scheduling method based on adaptive group collaborative bee colony algorithm
  • Airport freight station scheduling method based on adaptive group collaborative bee colony algorithm
  • Airport freight station scheduling method based on adaptive group collaborative bee colony algorithm

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Embodiment Construction

[0066] Next, the technical solutions in the embodiments of the present invention will be apparent from the embodiment of the present invention, and it is clearly described, and it is understood that the described embodiments are merely embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, those of ordinary skill in the art will belong to the scope of the present invention without paying in the premise of creative labor.

[0067] like Figure 10 Shown, an embodiment of an air cargo terminal adaptive scheduling algorithm colony cooperative group, the cooperative group mode colony adaptive algorithm is applied to the airport freight station scheduling problem, the present invention is to improve the scheduling accuracy degree and real-time. In consideration of the order of inbound shipments, avoid the collision, fundamentals of lifting transport vehicles (ElevatingTransfer Vehicle, ETV) action sequence, such as the import ...

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Abstract

The invention provides an airport freight station scheduling method based on a self-adaptive group collaborative bee colony algorithm, which is used for solving the technical problems of low precision and low efficiency of airport freight station scheduling. The method comprises the following steps: establishing an airport freight station dual-ETV scheduling model according to factors of an ETV action order, a collision influence and task exit allocation; and carrying out optimization solution on the airport freight station dual-ETV scheduling model by using an improved bee colony algorithm to obtain an optimal scheduling sequence. According to the method, the artificial bee colony algorithm is used for scheduling the cargo in-out order, the ETV action order and the like of an airport freight station, the artificial bee colony algorithm is improved from the two aspects of a neighborhood search strategy and an optimization mechanism, and the scheduling precision and efficiency of an airport freight station are improved.

Description

Technical field [0001] The present invention relates to air cargo terminal scheduling optimization techniques, and more particularly, to a method of scheduling air cargo terminal group cooperative colony adaptive algorithm. Background technique [0002] In the field of aviation logistics industry, the impact of globalization intensifies, more and more goods in a short time to reach the airport cargo terminal, the airport operator under tremendous pressure. So how to order goods out of storage, multi-ETV action, cargo location optimization, improve the efficiency of cargo turnover and reduce operating costs in order to establish efficient aviation logistics warehousing systems, has become a research focus. [0003] To address aviation logistics warehousing system optimization scheduling problem, artificial bee colony (ABC) algorithm is proposed out, with its less control parameters, easy to implement, simple to calculate, no requirements for the characteristics of the objective fu...

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/08G06N3/00
CPCG06Q10/0631G06Q10/083G06N3/006Y02T10/40
Inventor 王海泉苏孟豪温盛军张姗姗岳文轩杜盼盼
Owner ZHONGYUAN ENGINEERING COLLEGE