In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This is developed by hybridizing two shortcoming algorithms: Pelican Optimization Algorithm (POA) and Mlipir (KMA). Through hybridization, proposed designed to adapt advantages of both POA KMA. Several improvisations regarding are as follows. First, replaces randomized target with ...

Due to the importance of beamforming in improving communication systems performance, this paper presents a novel study planar antenna arrays (PAAs) utilizing Improved Grey Wolf Optimization (I-GWO) algorithm with goal minimizing peak sidelobe level (PSLL). It is very important suppress (SLL) because it minimizes interference and received noise. A two-dimensional (2D) optimization method present...

PM2.5 is one of the main factors air pollution, so prediction great significance. For this reason, innovation priority discrete nonlinear gray model based on wolf optimization algorithm established, which principle in system principle. Try to optimize model, and use solve parameters. First, basic theory proposed. On basis, used improve cumulative generation sequence, with parameters defined. Fi...

Current technological developments generally use sophisticated equipment which is categorized as a non-linear load. The massive of loads causes side effects on the quality electric power. Electric power systems that are connected to will experience distortion in current and voltage by harmonics due engineering waveforms installation many converters operating at frequencies do not match utility ...

Cloud Computing is the dynamic provisioning of resources to provide services end-users over internet. The realization cloud computing requires addressing several challenges, such as resource discovery, security, scheduling, and load balancing. Among these research issues, balancing most challenging one. Therefore, in past few years, into various static algorithms achieve optimal results gaining...

In this paper, the problem of population districting in the health system of South Khorasan province has been investigated in the form of an optimization problem. Now that the districting problem is considered as a strategic matter, it is vital to obtain efficient solutions in order to implement in the system. Therefore in this study two meta-heuristic algorithms, Ant Lion Optimizer (ALO) and G...

Abstract In estimating the parameters of five unknown Single‐Diode Model (SDM) solar photovoltaic (PV) model, a non‐linear equation for PV cell current is typically utilized. Then, error between estimated and measured computed using objective function called Root‐Mean‐Square‐Error (RMSE). order to compute in SDM, an iterative method built on Lambert‐W presented this study. Along with Lamber‐W f...

To improve the performance, robustness and stability of autotuning proportional integral derivative (PID) parameter, novel stable particle swarm optimization (NSPSO) is proposed in this paper. The NSPSO combination algorithm with new rule to reconsider survival remaining search space for handling instability system. based on proving according Lypunov theorem. Additionally, show method’s superio...

In order to address the problems of insufficient load capacity and rotor vibration, an active fluid-film bearing lubricated with magnetorheological fluid (MRF) is proposed. First, geometry MRF designed its intelligent lubrication mechanism analyzed clarify advantages. addition, mathematical model bearing-rotor system derived, FEM utilized obtain stiffness damping coefficients supplement model. ...