Microgrids are often considered as the solution for affordable and clean energy in distribution sector. This article presents small-signal stability analysis of a distributed generation unit an autonomous microgrid operation. The purpose proposed strategy is to optimally improve capacity power system restore reasonable operating condition following small physical disturbance. joined execution b...

In this paper, a nonlinear PID (NLPID) controller is used to replace traditional overcome the influence of factors in computer numerical control (CNC) system. A particle swarm optimization based on generalized opposition-based learning (G-PSO) algorithm proposed optimize NLPID controller. The convergence speed and global ability (PSO) are improved by introducing learning. natural selection muta...

In this paper, we solve the optimal power flow problem in alternating current networks to reduce losses. For that purpose, propose a master–slave methodology combines multiverse optimization algorithm (master stage) and method for based on successive approximation (slave stage). The master stage determines level of active be injected by each distributed generator network, slave evaluates impact...

Nowadays, the malware on Android platform is found to be increasing. With prevalent use of code obfuscation technology, precision antivirus software and classical detection techniques low. Classical signature matching manual analysis have exposed issues like low accuracy slow speed. Several authors overcome issue utilizing machine learning (ML) had more research outcomes. growth deep (DL), many...

distribution centers (dcs) play important role in maintaining the uninterrupted flow of goods and materials between the manufacturers and their customers.this paper proposes a mathematical model as the bi-objective capacitated multi-vehicle allocation of customers to distribution centers. an evolutionary algorithm named non-dominated sorting ant colony optimization (nsaco) is used as the optimi...

Many optimization problems have been successfully addressed using metaheuristic approaches. These approaches are frequently able to choose the best answer fast and effectively. Recently, use of swarm-based algorithms, a kind approach, has become more common. In this study, hybrid method called WOAGWO is proposed by combining Whale Optimization Algorithm (WOA) Grey Wolf (GWO). This aims realize ...

Human gender and age identification play a prominent role in forensics, bio-archaeology, anthropology. Dental images provide indications used for the treatment or diagnosis of disease forensic investigation. Numerous dental techniques come with specific boundaries, namely minimum reliability accuracy. Gender approaches are not widely researched, whereas effectiveness accuracy classification pra...

through a collection of cooperative agents called ants, the near optimal solution to the multi-reservoir operation problem may be effectively achieved employing ant colony optimization algorithms (acoas). the problem is approached by considering a finite operating horizon, classifying the possible releases from the reservoir(s) into pre-determined intervals, and projecting the problem on a grap...

Ant colony optimization algorithms (ACOs) have been basically introduced to discrete variable problems and applied to different research domains in several engineering fields. Meanwhile, abundant studies have been already involved to adapt different ant models to continuous search spaces. Assessments indicate competitive performance of ACOs on discrete or continuous domains. Therefore, as poten...