The performance of GA is measured and analyzed in terms of its performance parameters against variations in its genetic operators and associated parameters. Since last four decades huge numbers of researchers have been working on the performance of GA and its enhancement. This earlier research work on analyzing the performance of GA enforces the need to further investigate the exploration and e...

The aim of this paper is to provide a description of deep-learning-based scheduling approach for academicpurpose high-performance computing systems. Academicpurpose distributed computing systems’ (DCS) share reaches 17.4% amongst TOP500 supercomputer sites (15.6% in performance scale) that make them a valuable object of research. The core of this approach is to predict the future workflow of th...