Learn More
The university timetabling, examination and course, are known to be highly constrained optimization problems. Metaheuristic approaches, and their hybrids, have successfully been applied to solve the problems. This paper presents three artificial immune algorithms, the algorithms inspired by the immune system, for university timetabling; clonal selection,(More)
Congestion in network occurs due to exceed in aggregate demand as compared to the accessible capacity of the resources. Network congestion will increase as network speed increases and new effective congestion control methods are needed, especially to handle "bursty" traffic of today's very high speed networks. Since late 90's numerous schemes i.e. [1]-[10](More)
Data envelopment analysis (DEA) as introduced by Charnes et al [3] is a linear programming technique that has widely been used to evaluate the relative efficiency of a set of homogenous decision making units (DMUs). In many real applications, the input-output variables cannot be precisely measured. This is particularly important in assessing efficiency of(More)
Pedestrian movements are the consequence of several complex and stochastic facts. The modelling of pedestrian movements and the ability to predict the travel time are useful for evaluating the performance of a pedestrian facility. However, only a few studies can be found that incorporate the design of the facility, local pedestrian body dimensions, the(More)