For remote places having less-strong wind, single resources based renewable energy system (RES) with battery storage can sustainably and economically generate electrical energy. There is hardly any literature on optimal sizing of such RES for very low load demand situation. The objective of this study is to techno-economically optimize the system design of a Photovoltaic (PV)-battery storage RE...

This paper presents grey wolf optimization - GWO. After presenting the biological basis of GWO, it explains method itself and then main algorithms GWO as well their mathematical models. The Grey Wolf Algorithm (GWO) is presented in detail manner its operation application to examples engineering problems, such as: speed reducer, pressure vessel, spring, car side impact, cone coupling cantilever ...

Due to frequent drought events, increased water demand for agricultural production and limited, accurate estimation of reference evapotranspiration (ETo) is necessary developing crop irrigation schemes rational allocation regional resources. The extreme learning machine (ELM) was optimized using four biological heuristic algorithms, namely, Grey Wolf Optimizer (GWO-ELM), Moth-Flame Optimization...

The objective of this paper is to develop an enhanced metaheuristic algorithm train ANFIS on solving nonlinear regression problems. Firstly, we improved the sparrow search and then proposed a simplified (SSSA). Secondly, SSSA was hence employed parameters initial raw structure for problem. In order evaluate performance tuning (Adaptive neuro fuzzy inference system) ANFIS, use PSO, (gray wolf op...

This paper addresses a problem of a continuous path planning of a redundant manipulator where an end-effector needs to follow a desired path. Based on a geometrical analysis, feasible postures of a self-motion are mapped into an interval so that there will be an angle domain boundary and a redundancy resolution to track the desired path lies within this boundary. To choose a best solution among...

This paper presents the integration of renewable energy sources such as photovoltaics, wind, and batteries to grid. The hybrid shunt active power filter (HSHAPF) is optimized with Gray wolf optimization (GWO) fractional order proportional integral controller (FOPI) for harmonic reduction under nonlinear unbalanced load conditions. With use GWO, parameters FOPI are tuned, which effectively minim...

The increasing concern of global climate changes, the promotion of renewable energy sources, primarily wind generation, is a welcome move to reduce the pollutant emissions from conventional power plants. Integration of wind power generation with the existing power network is an emerging research field. This paper presents a meta-heuristic algorithm based approach to determine the feasible dispa...

Abstract A grey wolf optimization algorithm based on an adaptive adjustment strategy (Improvements-Grey Wolf Optimization, IGWO) is proposed in this paper to address the issues with Grey Optimization (GWO) algorithm, which has a slow convergence speed later stages and where local search global cannot be taken into effective balance. First, chaotic logistic map used initialize population. Next, ...

High-speed automatic weapons play an important role in the field of national defense. However, current research on reliability analysis of automaton principally relies on simulations due to the fact that experimental data are difficult to collect in real life. Different from rotating machinery, a high-speed automaton needs to accomplish complex motion consisting of a series of impacts. In addit...