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Application of Ant Colony Algorithm Based on Monopoly and Competition Idea in QoS Routing

机译:基于垄断与竞争思想的蚁群算法在QoS路由中的应用

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Ant colony algorithm is easy to fall in local best and its convergent speed is slow in solving multiple QoS constrained unicast routing problems. Therefore, an ant colony algorithm based on monopoly and competition is proposed in this paper to solve the problems. In the choice of nodes, improves pheromone competition, avoids monopoly of pheromone prematurely, stimulates ants to attempt the paths which have less pheromone and improves the global search ability of ants. Stagnation behavior is judged by the monopoly extent of the pheromone on the excellent path. Moreover, the catastrophic is embedded in the global pheromone update operation. According to simulations, its global search is strong and it can range out of local best and it is fast convergence to the global optimum. The improved algorithm is feasible and effective.
机译:蚁群算法易于落在局部最佳状态下,其会聚速度在解决多个QoS限制单播路由问题时缓慢。因此,在本文中提出了一种基于垄断和竞争的蚁群算法来解决这些问题。在选择节点中,提高信息素竞争,避免过早垄断信息酮,刺激蚂蚁尝试具有较少信息素并提高蚂蚁的全球搜索能力的蚂蚁。通过信息素的优异路径上的垄断程度来判断停滞行为。此外,灾难性嵌入全局信息素更新操作中。根据仿真,其全球搜索强劲,它可以占据最佳状态,并且可以快速收敛到全球最佳。改进的算法是可行和有效的。

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