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Multi-agent multicast routing method based on adjacent immune clonal selection

A technology of immune cloning and group of agents, applied in the field of network communication, can solve the problems of difficult parallel implementation, small seeding trees, and unstable locations, and achieves the effect of overcoming slow convergence speed, improving convergence speed, and good search performance.

Active Publication Date: 2013-09-25
探知图灵科技(西安)有限公司
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AI Technical Summary

Problems solved by technology

Zhong Weicai proposed a multi-agent evolutionary method for dynamically expanding the search space in "Multi-Agent Evolutionary Algorithms for Combinatorial Optimization". Only suitable for a specific network, often limited to local optimum, it is difficult to obtain a multicast tree with the least cost, and this method is difficult to implement in parallel
Liu Yuan and others proposed the MAICSA method in "Multi_Agent Multicast Routing Algorithm Based on Immune Cloning Computation". This method first builds a network model to find an optimal transmission path that meets various QoS requirements. It uses a single agent as a network The nodes of the model, and the positions of the agents generated by each generation in the grid are not fixed, and a high number of iterations is required to obtain the multicast tree with the lowest cost, which cannot well meet the requirements of decision makers for rational allocation of network resources

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  • Multi-agent multicast routing method based on adjacent immune clonal selection
  • Multi-agent multicast routing method based on adjacent immune clonal selection
  • Multi-agent multicast routing method based on adjacent immune clonal selection

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Embodiment Construction

[0032] refer to figure 1 , the specific implementation process of the present invention is as follows:

[0033] Step 1: Generate a rectangular grid of a given scale on the network plane, randomly generate some network nodes, and distribute the network nodes on the rectangular grid, and use the point link probability formula for these network nodes: Connect to form a network model for multicast routing.

[0034] (1a) Generate random nodes:

[0035] (1a1) Divide the network plane with the abscissa range of 0-4000 and the ordinate range of 0-4000 into 64 small square areas on average, and randomly mark the area type on each small square area with equal probability. The area types include: Node distribution dense area, node distribution sparse area and no node distribution area;

[0036] (1a2) Select the cell type where the node is located with equal probability, and then randomly select a specific cell according to the type; randomly select a grid vertex in the selected cell ...

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Abstract

The invention discloses a multi-agent multicast routing method based on adjacent immune clonal selection, and mainly aims to overcome the shortcomings of low convergence rate and low searching capability of the conventional method when multicast routing problems are solved. The method is implemented by the following steps of: 1, generating a network model; 2, initializing antibody populations, memory unit populations and optimized running parameters; 3, calculating the affinities of all antibodies, finding an optimal antibody and extracting a vaccine; 4, judging whether termination conditions are met or not, outputting an optimal individual if the termination conditions are met, otherwise turning to the step 5; 5, performing an immune colonization operation on all individuals in a current population; 6, performing an agent adjacent competition operation on the population obtained by the step 5, and updating the current population; and 7, extracting a better antibody updating memory unit from the antibody population obtained by the step 6, finding the optimal individual and returning to the step 4. The method has the advantages of high convergence rate and high searching capability, and can be used for solving the multicast routing problems of delay limitations.

Description

technical field [0001] The invention belongs to the technical field of network communication, and relates to the application of multi-agent technology in the multicast routing problem, which is used to solve the quality of service (QoS) multicast routing problem, and the better multicast tree obtained by the method has a more reasonable configuration Internet resources. Background technique [0002] With the rapid development of computer networks, network functions are increasingly powerful. The role of the network has evolved from simple information transmission to distance teaching, video conferencing, data distribution, and online games. To send user data from one terminal to another, the transmission route must first be determined. Different communication methods, which determine the route The way is also different. Today's network communication methods mainly include the following: 1) point-to-point unicast communication; 2) multicast communication that sends informat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/70H04L45/16
Inventor 刘芳戚玉涛焦李成马晶晶孙晖郝红侠马文萍尚荣华于昕刘静乐李阳阳
Owner 探知图灵科技(西安)有限公司
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