This paper proposes a heuristic triple layered particle swarm optimization–backpropagation (PSO-BP) neural network method for improving the convergence and prediction accuracy of the fault diagnosis system of the photovoltaic (PV) array. The parameters, open-circuit voltage (Voc), short-circuit current (Isc), maximum power (Pm) and voltage at maximum power point (Vm) are extracted from the outp...

Data-parallel computing platforms, such as Hadoop and Spark, are deployed in clusters for big data analytics. There is a general tendency that multiple users share the same cluster. The schedule of jobs becomes serious challenge. Over long period past, Shortest-Job-First (SJF) method has been considered optimal solution to minimize average job completion time. However, SJF leads low system thro...

in recent years, size of vlsi circuits is dramatically grown and layout generation of current circuits has become a dominant task in design flow. standard cell placement is an effective stage of physical design and quality of placement affects directly on the performance, power consumption and signal immunity of design. placement can be performed analytically or heuristically. analytical placer...

Educational timetabling problem is a challenging real world problem which has been of interest to many researchers and practitioners. There are many variants of this problem which mainly require scheduling of events and resources under various constraints. In this study, a curriculum based course timetabling problem at Yeditepe University is described and an iterative selection hyper-heuristic ...