Organic compounds, such as metallophthalocyanines (MePc) have emerged as important candidates to be used as active materials in numerous applications. Several studies have addressed the impact of the position of the central metal atom relative to the organic cage of the phthalocyanine (Pc) and the possibility of exploiting it in numerous applications. We have employed the Density Functional The...

The ray-scene intersection test is the most costly process when a scene is rendered. This process may be improved using any strategy to be able to speed-up it. Generally, any strategy used is based on the building of a spatial indexing in the scene domain or in the rays domain. In this paper, an acceleration techniques formalization is proposed. This formalization allows an optimizer to be spec...

The basic thought of particle swarm optimization is introduced firstly, then particle swarm optimization algorithm model is established. The application of the improved particle swarm optimization algorithm to power supply system fault diagnosis is analyzed in accordance with problem of the algorithm, and migration strategy is added to particle swarm optimization algorithm. Finally the paramete...

Abstract The elephant herding optimization (EHO) algorithm is a novel metaheuristic optimizer inspired by the clan renewal and separation behaviors of populations. Although it has few parameters easy to implement, suffers from lack exploitation, leading slow convergence. This paper proposes an improved EHO called manta ray foraging Gaussian mutation-based for global (MGEHO). updating operator i...