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Emergency resource scheduling method based on ant colony algorithm and multi-objective function model

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

Active Publication Date: 2021-01-29
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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  • Emergency resource scheduling method based on ant colony algorithm and multi-objective function model

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Embodiment Construction

[0072] An 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] The existing emergency resource scheduling during earthquakes generally describes emergency resources as multi-item and multi-mode network flow problems with time-window constraints or constructs an objective function and then uses the shortest path algorithm to obtain an ideal resource scheduling scheme. None of these schemes well considered the weight of the scheduling scheme target and the algorithm optimization problem of the optimal path, so the present invention takes these two points into consideration and makes improvements accordingly.

[0074] Main inventive idea of ​​the present invention is as follows:

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

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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, belongs to the research category of data analysis, relates to the technical field of ant colony algorithms, Hungary algorithms, optimal paths, resource scheduling and the like. The method mainly aims at selection of emergency resource scheduling schemes during earthquakes, constructs an optimal path selection model between two points and a multi-objective function mathematical model, performs data analysis training by adopting an ant colony optimization algorithm and a Hungary algorithm, and obtains an optimal emergency resource scheduling scheme by utilizing the trained model. The method has the advantages that the path cost can be considered as low as possible under the condition that the time efficiency is the first essentials, the characteristics of timeliness, casualty, economy and the like of emergency material transportation can be refined, theimportance degrees of the characteristics are distinguished through weights, and the most reasonable overall 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 resource scheduling between the emergency resource reserve point and the disaster-stricken point. At present, there are not many studies on emergency resource scheduling during earthquakes in China. The existing emergency resource scheduling during earthquakes generally describes emergency resources as sometimes Multi-item and multi-mode network flow problems with window constraints or construct an objective function and then use the shortest path algorithm to obtain an ideal resource scheduling scheme. These schemes do not take into account the weight of the scheduling scheme objectives and the algorithm optimization of the optimal path, so the...

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Application Information

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Patent Type & Authority Applications(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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