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Rapid convergence ant colony classification method based on adaptive dynamic pheromone

A dynamic information, fast convergence technology, applied in electrical components, transmission systems, etc., can solve the problems of long convergence time, fixed pheromone update strategy, etc., to achieve the effect of accurate update

Active Publication Date: 2017-02-22
BEIJING JIAOTONG UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the fixed pheromone update strategy of the traditional ant colony classification mining algorithm, its long convergence time is still a bottleneck of the algorithm when performing large-scale calculations.

Method used

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  • Rapid convergence ant colony classification method based on adaptive dynamic pheromone
  • Rapid convergence ant colony classification method based on adaptive dynamic pheromone
  • Rapid convergence ant colony classification method based on adaptive dynamic pheromone

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Embodiment Construction

[0051] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0052] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understoo...

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Abstract

The present invention provides a rapid convergence ant colony classification method based on the adaptive dynamic pheromone. The mainly comprises: prior to the ant colony searching, arranging starting factors which guide the search behaviors of the ant colony; detaining the pheromone information in the ant colony path search process, and searching the next path of the ant colony through the setting probability transfer function based on the pheromone information; and after all the paths of the ant colony are searched, determining the path with the shortest whole distance as the optimal path of the ant colony. The rapid convergence ant colony classification method based on the adaptive dynamic pheromone comprehensively considers the dynamic update factors of the pheromone information of the ant colony at each step in the process of the path walking selection to allow the update of the pheromone information to be more accurate and more correspond with the update rule. The designed evaluation function can ensure that the algorithm can timely delete the bad selected paths and timely guide the classification behavior of the ant colony so as to accurately and rapidly search the optimal path.

Description

technical field [0001] The invention relates to the technical field of network attack detection, in particular to a fast-converging ant colony classification method based on adaptive dynamic pheromone. Background technique [0002] Since entering the information age, with the development of network technology, computers and the Internet have entered thousands of households, and have penetrated into all aspects of people's study, work, and life, and have had a huge impact on people's lives, business development, and social progress. However, while the network provides convenience, due to its own characteristics of openness, anonymity, and interconnection, the network is vulnerable to various attacks, and network threats such as port penetration, system loopholes, phishing, and Trojan horses are everywhere. Therefore, Network security issues cannot be ignored. Network security issues seriously affect the order of the network and seriously endanger the interests of individuals,...

Claims

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Application Information

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IPC IPC(8): H04L29/06
CPCH04L63/1416H04L63/1433H04L63/1441
Inventor 刘云张志远张振江董钟鼎
Owner BEIJING JIAOTONG UNIV
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