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An Emergency Resource Scheduling Method Based on Ant Colony Algorithm and Multi-objective Function Model

A multi-objective function and ant colony algorithm technology, applied in the field of decision analysis, can solve problems such as poor scheduling effect, and achieve the effect of solving poor scheduling effect and improving scheduling effect.

Active Publication Date: 2022-05-13
WUHAN UNIV
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Problems solved by technology

[0003] The present invention proposes an emergency resource scheduling method based on an ant colony algorithm and a multi-objective function model, which is used to solve or at least partially solve the technical problem of poor scheduling effect existing in the methods of the prior art

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  • An Emergency Resource Scheduling Method Based on Ant Colony Algorithm and Multi-objective Function Model
  • An Emergency Resource Scheduling Method Based on Ant Colony Algorithm and Multi-objective Function Model
  • An Emergency Resource Scheduling Method Based on Ant Colony Algorithm and Multi-objective Function Model

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Embodiment Construction

[0072] The embodiment of the present invention provides an emergency resource scheduling method based on an ant colony algorithm and a multi-objective function model, which is used to improve the technical problem of poor scheduling effect existing in the prior art method.

[0073] Existing emergency resource scheduling during earthquakes generally describes emergency resources as a multi-item, multi-mode network flow problem with time window constraints, or constructs an objective function and then uses the shortest path algorithm to obtain an ideal resource scheduling scheme. These schemes do not take into account the weight of the scheduling scheme objective and the algorithm optimization problem of the optimal path, so the present invention takes these two points into consideration and makes improvements accordingly.

[0074] The main inventive concept of the present invention is as follows:

[0075] Aiming at the selection of the optimal scheduling scheme of emergency res...

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Abstract

The invention relates to an emergency resource scheduling method based on an ant colony algorithm and a multi-objective function model, which belongs to the research category of data analysis, and involves technical fields such as ant colony algorithm, Hungarian algorithm, optimal path, and resource scheduling, and is mainly aimed at emergency response during earthquakes. The selection of resource scheduling schemes, constructing the optimal path selection model between two points and the multi-objective function mathematical model, using the ant colony optimization algorithm and the Hungarian algorithm for data analysis and training, and using the trained models to obtain the optimal emergency resource scheduling scheme . Advantages of the present invention: when time efficiency is the first priority, the path cost can be considered to be as small as possible, and the characteristics of emergency material transportation - timeliness, casualty and economy, etc. can be refined and weighted By distinguishing the degree of importance, the overall most reasonable scheduling scheme can be obtained.

Description

technical field [0001] The invention relates to the technical field of decision analysis in machine learning, in particular to an emergency resource scheduling method based on an ant colony algorithm and a multi-objective function model. Background technique [0002] The scheduling of emergency resources during an earthquake involves the resource scheduling problem between the emergency resource reserve point and the disaster-affected point. At present, there are not many studies on the emergency resource scheduling scheme during the earthquake. The existing emergency resource scheduling during the earthquake generally describes the emergency resources as sometimes Window-constrained multi-item, multi-mode network flow problems or construct objective functions and then use shortest path algorithm to obtain ideal resource scheduling scheme. These schemes do not take into account the weight of the scheduling scheme objectives and the algorithm optimization problem of the optim...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06N3/00
CPCG06Q10/047G06Q10/06313G06Q50/26G06N3/006
Inventor 李石君张一博余伟杨济海余放杨俊成李宇轩
Owner WUHAN UNIV
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