 Abstract—The flashover voltage of insulator is relative to the distribution of the electric field. The distribution of the electric field on the insulator is contributed to the shape of insulator. For this, we must optimize the shape of insulator. In this paper, we use FEM, GA and HGAPSO for optimizing the shape of insulator. The tangential electric field and the area of insulator are optimiz...

A fuzzy-controller design by the hybrid of genetic algorithm and particle-swarm optimisation (F-HGAPSO) is employed for a thyristor-controlled series capacitor (TCSC) to improve the transient stability of flexible AC transmission systems (FACTS). According to the variation of rotation speed, a fuzzy controller decides an approximate series capacitance to achieve a better dynamic response of FAC...

The solution of the unit commitment problem (UCP) is a complex optimization problem. The exact solution of the UCP can he obtained by a complete enumeration of all feasible combinations of generating units, which could be a huge number. The objective is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. This also me...

Image segmentation is defined as the process of dividing an image into disjoint homogenous regions and it could be regarded as the fundamental step in various image processing applications. In this paper, a novel multilevel thresholding segmentation method is proposed for grouping the pixels of remote sensing (RS) images into different homogenous regions. In this way, Hybrid Genetic Algorithm-P...

In this paper, a new method for dynamic balancing of double four-bar crank slider mechanism by metaheuristic-based optimization algorithms is proposed. For this purpose, a proper objective function which is necessary for balancing of this mechanism and corresponding constraints has been obtained by dynamic modeling of the mechanism. Then PSO, ABC, BGA and HGAPSO algorithms have been applied for...

The computational drawbacks of existing numerical methods have forced researchers to rely on heuristic algorithms. Heuristic methods are powerful in obtaining the solution of optimization problems. Although these methods are approximate methods (i.e. their solutions are good, but probably not optimal), they do not require the derivatives of the objective function and constraints. Also, the heur...

Efficient resource management through the virtual machine placement (VMP) is a great concern in data centers. The Biobjective VPM is a representation of multi-objective combinatorial optimization problem. Energy or cost minimization of cloud data center is highly dependent upon the VMP policy. Allocating the set of virtual machines (VMs) to the set of suitable physical machines (PMs), while con...

The rapid growth of web pages available on the Internet recently, searching relevant and up-to-date information has become a crucial issue. Information retrieval is one of the most crucial components in search engines and their optimization would have a great effect on improving the searching efficiency due to dynamic nature of web it becomes harder to find relevant and recent information. That...

In this article, an adaptive synthesis based on the hybrid genetic algorithm and particle swarm optimization (HGAPSO) is proposed for reflectionless filter design with lumped capacitors, resistors, inductors. The starts a preset topology, where each branch of topology represents small passive network elements. HGAPSO used to trim branches obtain proper values elements required filtering respons...

Governments worldwide have adopted energy-saving policies out of concern for the planet. System efficiency and renewable energy are needed to reduce greenhouse gas emissions, which cause climate change. Electricity generation is biggest polluter, followed by transportation. Electric vehicles would strain electricity infrastructure without technical solutions. This study uses a hybrid genetic al...