FLAR swMATH ID: 2755 Software Authors: Mirabedini, Seyed Javad; Teshnehlab, Mohammad; Shenasa, Mohammad Hassan; Rahmani, Amir Masoud Description: FLAR: an adaptive fuzzy routing algorithm for communications networks using mobile ants. Swarm intelligence, as demonstrated by a natural biological swarm, such as an ant colony, has many powerful properties that are desirable for effective routing in communications networks. In this paper, we propose an intelligent routing algorithm that we are calling Fuzzy Logic Ant-based Routing (FLAR), which is inspired by ant colonies and enhanced by fuzzy logic techniques. Using a fuzzy system as an intelligent and expert mechanism allows multiple constraints to be considered in a simple and intuitive way. Simulation results and a comparison of the proposed method with two state-of-the-art routing algorithms show better performance and a higher fault tolerance for our approach, particularly in regard to link failures. Homepage: http://www.tandfonline.com/doi/pdf/10.1080/01969720802257915 Keywords: swarm intelligence; routing in communications networks; fuzzy logic ant-based routing Related Software: AntHocNet; AntNet Cited in: 2 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year FLAR: an adaptive fuzzy routing algorithm for communications networks using mobile ants. Zbl 1173.93356Mirabedini, Seyed Javad; Teshnehlab, Mohammad; Shenasa, Mohammad Hassan; Rahmani, Amir Masoud 2008 Cited by 5 Authors 2 Mirabedini, Seyed Javad 2 Rahmani, Amir Masoud 2 Shenasa, Mohammad Hassan 2 Teshnehlab, Mohammad 1 Movaghar, Ali Cited in 2 Serials 1 Cybernetics and Systems 1 Journal of Zhejiang University. Science A Cited in 3 Fields 2 Operations research, mathematical programming (90-XX) 1 Systems theory; control (93-XX) 1 Information and communication theory, circuits (94-XX) Citations by Year