We present a new design procedure that improves the efficiency of a universal motor, the type of motor that is typically used in home appliances and power tools. The goal of our optimization was to find the independent geometrical parameters of the rotor and the stator with the aim of reducing the motor’s power losses, which occur in the iron and the copper. Our procedure is based on a genetic ...

In this paper a new evolutionary algorithm, for continuous nonlinear optimization problems, is surveyed. This method is inspired by the life of a bird, called Cuckoo. The Cuckoo Optimization Algorithm (COA) is evaluated by using the Rastrigin function. The problem is a non-linear continuous function which is used for evaluating optimization algorithms. The efficiency of the COA has been studied...

background: transient gene expression (tge) gained popularity over the last decade as a rapid method for the production of milligram to gram quantities of recombinant proteins for preclinical studies in biophama industry. thereby, the optimization of the tge technique for chinese hamster ovary (cho) as the dominant host for the production of biotherapeutics is of great interest to reach the val...

In recent years, development of Unmanned Aerial Vehicles (UAV) has become a significant growing segment of the global aviation industry. The present paper provides an overview of the research conducted on the field of UAV energy efficiency optimization. Introduction Efficient energy utilization on an UAV is essential to its functioning, often needed to achieve the operational goals of range, en...

The most interesting discrete optimization problems are computationally very hard. That is why we cannot hope for efficient (practicable) algorithms that would guarantee to compute appropriate exact optimal solutions. The only way to attack these hard problems is to relax our demand on acceptable solutions and to hope for the efficient solvability of the resulting problem variants. To shift fro...

AbstrAct: Muti-objective optimization deals with the simultaneous optimization of two or more conflicting objective functions in real-life systems. This paper deals with the multi-objective optimization in service systems. The goal of service systems is to provide cost-efficient service to customers, while at the same time, reducing the customer waiting time for service. In general, a low cost ...

the cuckoo search algorithm is a recently developedmeta-heuristic optimization algorithm, which is suitable forsolving optimization problems. to enhance the accuracy andconvergence rate of this algorithm, an improved cuckoo searchalgorithm is proposed in this paper. normally, the parametersof the cuckoo search are kept constant. this may lead todecreasing the efficiency of the algorithm. to cop...

The natural acoustic system used by marine mammals and the artificial sonar system used by humans coexist in the underwater cognitive sonar communication networks (CSCN). They share the spectrum when they are in the same waters. The CSCN detects the natural acoustic signal depending on cooperative spectrum sensing of sonar nodes. In order to improve spectrum sensing performance of CSCN, the opt...

High cost and low efficiency problem has been bothering NC teaching.To lower the cost of practical teaching of higher speed numerical control manufacturing along with improvement in processing efficiency, a multi-objective scheme for optimization of process parameters has been developed here. Various constraint conditions were set and a complex algorithm was employed for optimization. To achiev...