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Finding Multi-Constrained Path Using Genetic Algorithm

机译:使用遗传算法找到多约束路径

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摘要

To properly support networked multimedia applications, it is important for the network to provide quality-of-service (QoS) guarantees. One way to provide QoS guarantees is for the network to perform QoS routing, where the path taken must fulfill certain constraints. Multi-constrained path (MCP) problem refers to the problem of finding a path through a network subject to multiple additive constraints. It has been proven that this problem is NP-complete and therefore no exact algorithm can be found. As such, various heuristics and approximation algorithms have been proposed to solve the MCP problem. This paper presents a solution to the MCP problem using genetic algorithm (GA). Through simulation, this algorithm has been shown to give a high probability of finding a feasible path if such paths exist.
机译:为了适当地支持联网多媒体应用,网络提供服务质量(QoS)保证非常重要。提供QoS保证的一种方法是用于网络执行QoS路由,其中​​所拍摄的路径必须满足某些约束。多约束路径(MCP)问题是指通过网络经受多个附加约束的网络找到路径的问题。已经证明,此问题是NP-Tress,因此无法找到确切的算法。因此,已经提出了各种启发式和近似算法来解决MCP问题。本文介绍了使用遗传算法(GA)对MCP问题的解决方案。通过仿真,已经示出了如果存在这样的路径,则已示出该算法在找到可行路径的高概率。

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