To Minimizes the computing cost in packet delivery of Hybrid Cloud using an Efficient Cost Scheduling Algorithm. The following Optimized Novel scheduling algorithm is analyzed group 1 (596 samples), and Cuckoo Search Optimization 2 samples). has significantly better reduction (57%) compared to (20%). There was a statistical significance between Algorithm for cloud resources novel helps with val...

To identify cracks in a structure, an inverse analysis has been performed using the static and dynamic response of structure. The accuracy is highly dependent on form objective function choice optimization method. Generally, method searching solution by gradient adopted. However, for crack problem interested this study, it known to have drawback that search strongly depends initial value settin...

Skin cancer segmentation is a critical task in clinical decision support system for skin detection. The suggested enhanced cuckoo search based optimization model will be used to evaluate several metrics the picture process. Because time and resources are always limited, proposed algorithm one of most effective strategies dealing with global difficulties. One significant requirements design opti...

Unconventional machining processes (communally named advanced or modern machining processes) are widely used by manufacturing industries. These advanced machining processes allow producing complex profiles and high quality-products. However, several process parameters should be optimized to achieve this end. In this paper, the optimization of process parameters of two conventional and four adva...

Bio inspiration is a branch of artificial simulation science that shows pervasive contributions to variety of engineering fields such as automate pattern recognition, systematic fault detection and applied optimization. In this paper, a new metaheuristic optimizing algorithm that is the simulation of “The Great Salmon Run” (TGSR) is developed. The obtained results imply on the acceptable perfor...