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Investigating Ant Colony Optimization Algorithm for Increasing Routing Efficiency in Self-Organized Networks

机译:自组织网络中研究蚁群优化算法以提高路由效率

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摘要

The paper is devoted to the investigation of an ant colony algorithm which allows to increase the efficiency of the routing process in self-organized networks. This algorithm is successfully used to solve complex optimization problems like search and determination of the most suitable solution for optimizing the target function from a discrete set of possible solutions. In this paper, we consider the time of data delivery as a target function. We introduce a modification to the ant colony algorithm that prevents from establishing of premature loops.
机译:本文致力于研究蚁群算法,该算法可以提高自组织网络中路由过程的效率。该算法已成功用于解决复杂的优化问题,例如从一组可能的解决方案中搜索和确定最合适的解决方案以优化目标函数。在本文中,我们将数据传递时间作为目标函数。我们对蚁群算法进行了修改,以防止建立过早的循环。

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