Abstract—Embedded system secondary storage size is often constrained, yet storage demands are growing as a result of increasing application complexity and storage of personal dat...
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
This paper introduces a novel analogy with the way in which honeybee colonies operate in order to solve the problem of sparse and quasi dense reconstruction. To successfully solve...
Although timetabling has long been studied through constraint satisfaction based techniques, along with many alternatives, only recently work has been reported where distributed t...