实现群集自治的分布式协调算法
首发时间:2012-08-06
摘要:为研究个体微观行为与群集宏观行为之间的决策关系,探讨基于玻尔兹曼分布(Boltzmann distribution)的群集的行为对个体行为的决策方法,提出了一种群集自治的分布式协调算法DCA(Decentralized Coordination Algorithm)。DCA算法首先将单个蚂蚁的混沌行为看作一个非线性振子,然后以蚁群的自组织行为建立自组织机制,并分析了DCA算法的收敛性,最后采用群集节点的聚集和分散问题评估提出的算法的有效性,并与分布式梯度算法相比,表明了DCA算法能够有效协调群集个体并使它们的状态达到整体最优组态。
关键词: 群集智能 分布式协调 自治群集 非线性振子 自组织
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Decentralized coordination of autonomous swarms inspired by chaotic behavior of ants
Abstract: In this paper we propose a decentralized coordination algorithm for a group of mobile nodes, called an autonomous swarm, on a finite two-dimensional space, which can efficiently coordinate cooperatively the autonomous swarm to the optimal solution. Our algorithm is inspired by chaotic behavior of a single ant and self-organization behavior of the whole ant colony. To construct this algorithm, we firstly assume that each agent is a nonlinear oscillator presenting the chaotic behavior of a single ant. Then we establish a self-organization mechanism according to the self-organization behavior of the whole ant colony. Moreover, we analyze the convergence of the proposed algorithm. Finally we experimentally evaluate the performance of our algorithm with the clustering and dispersion operations of a swarm. Comparison results of the proposed algorithm and the gradient-type one are also presented to illustrate the effectiveness of the proposed scheme in approximately global optimization for swarms.
Keywords: Swarm intelligence Decentralized coordination Autonomous swarms Nonlinear oscillator Self-organization
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