Method for optimizing disaster emergency decision system path

A decision-making system and path optimization technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as lack of pheromone and slow solution speed, avoid a large number of unhelpful redundant iterations, improve solution speed, and improve quality and efficiency. The effect of efficiency

Active Publication Date: 2014-01-01
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

The ant colony algorithm converges on the most effective path through the accumulation and update of pheromones. Although it has distributed parallel global search capabilities, it lacks pheromones at the beginning and the solution speed is very slow.

Method used

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  • Method for optimizing disaster emergency decision system path
  • Method for optimizing disaster emergency decision system path
  • Method for optimizing disaster emergency decision system path

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Embodiment Construction

[0043] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0044] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0045] Such as figure 1As shown in FIG. 2 , it is a flow chart of the route optimization method of the disaster emergency decision-making system according to the embodiment of the present invention.

[0046] Description of the problem:

[0047] (1) Mathematical modeling of disaster emergency system:

[0048] Let A 1 , A 2 ...A m are m disaster-stricken points, A is the rescue po...

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Abstract

The invention relates to the technical field of artificial intelligence algorithms, and provides a method for optimizing a disaster emergency decision system path. The method comprises the steps that S11, an objective function and a fitness function are defined; S12, chromosome coding is carried out; S13, operators are selected according to the fitness function; S14, the operators are crossed; S15, the operators are mutated according to the fitness function and pheromone updating guiding mutation rules; S16, a plurality of sets of optimal solutions are generated, and the best solution is output through the fitness function. The quality and efficiency of the solutions are effectively improved through the pheromone guiding mutation rules of an ant colony algorithm. A large amount of useless redundant iteration of a genetic algorithm is avoided through the positive feedback mechanism and the parallelism of the ant colony algorithm, and the solution speed of the genetic algorithm is further improved. The decision model with a single saving point and multiple disaster points based on continuous supply losses is more suitable for emergency situations, and practical significance is achieved.

Description

【Technical field】 [0001] The invention relates to the technical field of artificial intelligence algorithms, in particular to a method for path optimization of a disaster emergency decision-making system. 【Background technique】 [0002] For thousands of years, natural disasters and man-made accidents have all posed a huge threat to human life and property. Therefore, it is very important to study how to improve the efficiency of emergency material dispatching to reduce casualties and economic losses. With the rapid development of science and technology, in recent years, there have been more and more researches on the route optimization of disaster emergency systems, and uncertain factors have also appeared in the scope of emergency decision-making models, but most of the current research is uncertain The decision-making model of multi-rescue point and single disaster point is uncertain, while there are few studies on the uncertainty of single rescue point, multiple disaster ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/00
Inventor 朱青松罗建娣王磊
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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