Electric vehicles (EVs) are seen as a necessary component of transportation's future growth. However, the performance batteries related to power density and energy restricts adoption electric vehicles. To make transition from conventional car pure vehicle (PEV), Hybrid Vehicle's (HEV) Energy Management System (EMS) is crucial. The HEVs often powered with hybrid electrical sources, therefore it ...

Poland is facing demanding challenges to achieve a sustainable energy mix in the near future. Crucial and tough decisions must be made about direction of national economy, safety, environmental impact. Considering electricity heating demand forecast, this paper proposes an optimization model based on Grey Wolf Optimizer meta-heuristic support definition ideal considering investment operational ...

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...

Interpretation of the genetic composition and taxonomic history of wolves in the western Great Lakes region (WGLR) of the United States has long been debated and has become more important to their conservation given the recent changes in their status under the Endangered Species Act. Currently, the two competing hypotheses on WGLR wolves are that they resulted from hybridization between (i) gre...

Wireless sensor networks (WSN) have been recently gaining traction for many applications in monitoring and surveillance systems the physical world specifically agriculture, healthcare, smart cities. Many clustering routing approaches introduced to reduce consumption of energy WSNs increase lifetime network. In this study, we propose an improved version grey wolf optimizer (GWO), a nature-inspir...

To improve the performance of vehicle suspension, this paper proposes a semi-active suspension with magnetorheological fluid (MRF) damper. We designed an optimized fuzzy skyhook controller grey wolf optimizer (GWO) algorithm base on new neuro-inverse model MRF Because inverse damper is difficult to establish directly, Elman neural network was applied. The novelty study application for vibration...

Received Dec 24, 2016 Revised Apr 26, 2017 Accepted Jun 14, 2017 The augment of ecological shield and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources into existing power system. Wind power is becoming worldwide a significant component of the power generation portfolio. Profuse literatures have been reported for...

Finding a suitable solution to an optimization problem designed in science is major challenge. Therefore, these must be addressed utilizing proper approaches. Based on random search space, algorithms can find acceptable solutions problems. Archery Algorithm (AA) new stochastic approach for addressing problems that discussed this study. The fundamental idea of developing the suggested AA imitate...