机译:Adapt-Traf:基于混合蚁群-层次模糊模型的自适应多主体道路交通管理系统
REGIM-Lab.: REsearch Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax 3038, Tunisia;
REGIM-Lab.: REsearch Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax 3038, Tunisia;
Department of Computer Science and Artificial Intelligence, Research Center on Communication and Information Technology (CITIC-UGR), University of Cranada, 18071 Granada, Spain;
Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, WA 98071, USA,VSB - Technical University of Ostrava, 17, listopadu 15/2172, Ostrava-Poruba, Czech Republic;
REGIM-Lab.: REsearch Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax 3038, Tunisia;
Traffic management; Adaptive vehicle route guidance; Multiagent systems; Ant colony; Hierarchical fuzzy system; Traffic simulation;
机译:基于自适应混合模糊规则的城市交通流量建模与预测方法
机译:基于多主体模糊逻辑的混合动力系统能量管理
机译:用于最优能源管理的混合能源微电网的系统建模 - 一种混合大象挤出优化算法 - 自适应神经模糊推理系统方法
机译:用蚁群模糊系统改进道路交通管理。
机译:使用基于代理的建模将交通网格中的高效学习视为复杂的自适应系统。
机译:基于多主体系统的MACSimJX智能微电网动态能源管理建模与实现
机译:通过蚂蚁分层模糊系统改进道路交通管理