Job Scheduling plays an important role for efficient utilization of grid resources available across different domains and geographical zones. Scheduling of jobs is challenging and NPcomplete. Evolutionary / Swarm Intelligence algorithms have been extensively used to address the NP problem in grid scheduling. Artificial Bee Colony (ABC) has been proposed for optimization problems based on foragi...

Among artificial intelligence approaches, artificial neural networks (ANNs) and genetic algorithm (GA) are widely applied for modification of materials property in engineering science in large scale modeling. In this work artificial neural network (ANN) and genetic algorithm (GA) were applied to find the optimal conditions for achieving the maximum hardness of Al6061 reinforced by multiwall car...

Objective: Cardiovascular Disease (CVD) is a disease that negatively affects the blood vessel system due to plaque formation as result of accumulation on inner wall vessels. In diagnostic phase, angiography results are evaluated by physicians. New algorithms based artificial intelligence, including new technologies, needed for diagnosing CVD time-consuming and high cost methods. Materials Metho...

With the improvement of people's material living standards, more and people start to pay attention health issues. This paper takes field as main research object, discusses current development status quo field. Through literature review, it is found that mainly focuses on single monitoring a certain organ or body function, there are limitations in systematic research, most stays at stage human m...

Today, there are a lot of useful algorithms for covering array (CA) generation, one the branches combinatorial testing. The major CA challenge is generation an with minimum number test cases (efficiency) in appropriate run-time (performance), large systems. strategies classified into several categories: computational and meta-heuristic, to name most important ones. Generally, have high performa...