supported by the National Natural Science Foundation of China(60573159);the Guangdong High Technique Project(201100000514)
This paper proposes a hybrid approach for recognizing human activities from trajectories. First, an improved hidden Markov model (HMM) parameter learning algorithm, HMM-PSO, is proposed, which achieves a better bala...
针对ASON中双链路失效问题,基于相关链路失效概率(Correlated Link Failure Probability,CLFP)的方法分析传统共享链路保护的可靠性,并提出一种新的支持用户区分可靠性(Diferentiated Reliability,DiR)的共享链路保护算法:SLPDLF-DiR(Sh...
supported by the National Natural Science Foundation of China(60573159)
Ant colony optimization (ACO) is a new heuristic algo- rithm which has been proven a successful technique and applied to a number of combinatorial optimization problems. The traveling salesman problem (TSP) is amo...