In the antenna arrays the side lobe level is main problem which causes wastage of energy. This paper describes the application of a recently developed metaheuristic algorithm, known as the Particle Swarm Optimization Gravitational Search Algorithm(PSOGSA) to optimize the spacing between the elements of the linear antenna array to produce a radiation pattern with minimum side lobe level. Numeric...

Hybrid electric vehicle (HEV) is getting more attention recently because it has no emission of toxic gases which leads to global warming. Now a days, Particle swarm Optimization Gravity Search Algorithm (PSOGSA) is widely used for optimization, because of its faster convergence rate to the optimal minimum value than other optimization techniques. The main aim of this paper is to control the spe...

Abstract Nowadays, various types of vibration damping systems are being implemented in different buildings to diminish seismic effects on structures. However, engineers faced with the challenging task developing an optimum design for structures utilizing a proper type device based new techniques such as performance-based method. Therefore, this research was aimed at multi-objective optimization...

The applications of skin color recognition are extended in utilizations both in content based analysis and human computer interactions. Therefore, achieving a useful method for segment the skinlike pixels can help the presented problems. In this paper a hybrid PSOGSA -ANN is proposed as a new training method for Feed forward Neural Networks (FNNs) in order to investigate a high efficiency for s...

Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field, provides precise reference evapotranspiration (ETo) prediction that is highly important for water resource availability and hydrological studies. However, hybrid MAs are quite scarcely used to predict ETo existing literature. To this end, abilities of two support vector regression (SVR) models coupled wi...