In this lecture, we will discuss one of the most important applications of semidefinite programming, namely its use in the formulation of convex relaxations of nonconvex optimization problems. We will present the results from several different, but complementary, points of view. These will also serve us as starting points for the generalizations to be presented later in the course. We will disc...

in this paper, a connecting rod was modeled and analyzed by finite element method. byusing genetic algorithm (ga) and modified cuckoo optimization algorithm (mcoa), the materialproperties and some geometrical specifications were optimized. cost function was a combination ofweight and stress. the connecting rod was under a load of 21.8 kn which obtained 360o crank angleat 5700 rev/min. the reduc...

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...