Optimization procedures can be considered useful for machining applications. Most commonly, the optimization method is applied to search a trade-off between costs and profits, it allows searching optimum cutting parameters maximize tool-life, minimize time of production, etc. The selection optimal conditions which could process sustainability performance fatigue life machined product objective ...

Early detection is vital to successfully treating breast cancer, and mammography screening is the most efficient and wide-spread method to reach this goal. Imaging low-contrast targets, while minimizing the radiation exposure to a large population is, however, a major challenge. Optimizing the image quality per unit radiation dose is therefore essential. In this thesis, two optimization schemes...

In this article, we introduce and evaluate several new algorithmic improvements to Ray Hierarchies. The improved algorithm is used to produce ray-traced shadows for omni-directional lights in fully dynamic environments. The new algorithmic improvements increase culling rate of the traversal algorithm, in some cases dramatically cutting the number of visited nodes. To evaluate performance, we pr...

The performance of full-featured ray tracers has historically been limited by the hardware’s floating point computational power. However, next generation multi-threaded multi-core architectures promise to provide sufficient CPU power to support real time frame rates. In such systems, the emerging problem will be limited memory system performance in terms of both on-chip cache and DRAM-to-cache ...

The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has successfully solved many problems give better solution as compare to other algorithms. However, due its poor exploration capability, imbalance relation between exploitation. Therefore, in this research work, the part of GWO was improved through hybrid with whale algorithm (WOA) exploration. proposed (GWWO...