摘要
基于工程复杂系统软计算中描述人的思维基本特征的蚂蚁路由算法,结合在经济复杂 系统中成功应用的人工认知交叉目标算法,提出人工认知BP-CT蚂蚁路由算法,并在OMNeT++ 仿真平台上进行了人工实验.结果表明,网络的吞吐量、数据包的传送数和丢弃数等QoS指标高于 蚂蚁网络路由算法.
In this paper, combined the antnet routing algorithm which characterizes the human thinking in soft computing of engineering complex system with the cognitive cross-target algorithm which is successfully applied in the economic complex system, we propose the artificial cognitive BP -CT ant routing algorithm. Then we simulate it on OMNeT++ software platform. The result shows that the algorithm excels the antnet routing algorithm in QoS, especially in throughput, transmission number and deletion number of data packets.
出处
《哈尔滨理工大学学报》
CAS
2005年第1期110-113,共4页
Journal of Harbin University of Science and Technology
基金
黑龙江省自然科学基金资助(F01-12)
