In the mobile robot workplace, path planning problem is crucial. Robotic systems employ intelligence algorithms to plan robot's from one point another. This paper proposes fastest and optimal of wheeled with collision avoidance find route during navigation start target point. It done using a modern meta-heuristic hybrid algorithm called IPSOGWO by combining Improved Particle Swarm Optimization ...

Introduction: This study presents an effective method with high stability called the coyote optimization algorithm (COA) for optimal integration of renewable distributed generation units (DGUs), including biomass (BMs), wind turbine (WTs) and photovoltaic (PVs). The main aim is to minimize annual power loss cost considering three hybrid systems combination PV WT, BM PV, WT in time-varying load ...

In this study, we proposed a new technique to compensate the backlight images. Two processing stages, called the backlight level detection and the backlight image compensation, are proposed. In the backlight level detection stage, we first transferred the color space to gray space by feature weighting, then obtain two backlight factors. We apply these two backlight factors to the proposed funct...

in this paper, a new enhanced version of the particle swarm optimization (pso) is presented. an important modification is made by adding probabilistic functions into pso, and it is named probabilistic particle swarm optimization (ppso). since the variation of the velocity of particles in pso constitutes its search engine, it should provide two phases of optimization process which are: explorati...

The major concern in power systems has been the problem of low frequency oscillations (LFO) that results in the reduction of the power transfer capabilities. The applications of power system stabilizers (PSS) are commonly employed to dampen these low frequency oscillations. The parameters of the PSS are tuned by considering the Heffron-Phillips model of a single machine infinite bus system (SMI...

This paper proposes an improved approach based on conventional particle swarm optimization (PSO) for solving an economic dispatch(ED) problem with considering the generator constraints. The mutation operators of the differential evolution (DE) are used for improving diversity exploration of PSO, which called particle swarm optimization with mutation operators (PSOM). The mutation operators are ...

Laser ultrasonic defect detection and classification has been widely used in engineering and material defect detection, so detecting and classifying the defect targets accurately is significant. In order to obtain the higher classification accuracy, an improved support vector machine (SVM) based on particle swarm optimization algorithm is used as classifier in this paper. To search the optimal ...

Abstract Because electricity is so difficult to store, the electric power department needs store enough in advance, whether customers use it or not. To lower cost of this aspect, essential realize high-precision load forecasting. The Elman neural network (ElmanNN) prediction model based on improved Particle Swarm Optimization (IPSO) algorithm constructed. (PSO) brought in, and learning factor o...