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Ant Algorithm for Determining of Critical Connections in VLSI

机译:确定VLSI中关键连接的蚂蚁算法

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The paper deals with a modified ant algorithm for the determination of critical connections in VLSI using as an example a traveling salesman problem. This algorithm is a part of the swarm intelligence method, which is one of the bioinspired approaches that describe the collective behavior of a decentralized self-organizing system. It consists of a set of agents (ants) interacting with each other and with the environment. The paper presents the statement of the traveling salesman problem. The described modified ant algorithm allows to obtain sets of quasi-optimal solutions in polynomial time. Series of tests and experiments made it possible to specify theoretical estimates of the algorithms' time complexity and their behavior for graphs with different structures. The time complexity is represented as O(nlogn) at the best case, O(n3) at the worst case.
机译:本文以旅行商问题为例,介绍了一种改进的蚂蚁算法,用于确定VLSI中的关键连接。该算法是群智能方法的一部分,它是描述分散的自组织系统的集体行为的生物启发方法之一。它由一组相互交互以及与环境交互的代理(蚂蚁)组成。本文提出了旅行商问题的陈述。所描述的改进的蚂蚁算法允许在多项式时间内获得一组拟最优解。通过一系列测试和实验,可以为不同结构的图指定算法时间复杂度及其行为的理论估计。时间复杂度在最佳情况下表示为O(nlogn),在最坏情况下表示为O(n3)。

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