Grey wolf optimization (GWO) is a recent and popular swarm-based metaheuristic approach. It has been used in numerous fields such as numerical optimization, engineering problems, machine learning. The different variants of GWO have developed the last 5 years for solving problems diverse fields. Like other algorithms, also suffers from local optima slow convergence resulted degraded performance....

The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has successfully solved many problems give better solution as compare to other algorithms. However, due its poor exploration capability, imbalance relation between exploitation. Therefore, in this research work, the part of GWO was improved through hybrid with whale algorithm (WOA) exploration. proposed (GWWO...

Operation at low speed and high torque can lead to the generation of strong ripples in speed, which deteriorate system. To reduce oscillations when operating a five-phase asynchronous motor this article, we propose control method based on Gray Wolf optimization (GWO) algorithms adjust parameters proportional–integral (PI) controllers. Proportional–integral controllers are commonly used systems ...

In this paper, a vibration signal-based hybrid diagnostic method, including signal adaptive decomposition, reconstruction, fault feature extraction, and gearbox classification, is proposed to realize diagnosis of general gearboxes. The main contribution the method combining processing, machine learning, optimization techniques effectively eliminate noise contained in signals achieve high accura...

تعد مشكلة تخطيط المسار من بين المشكلات الأكثر أهمية في مجال أبحاث الروبوتات. نظرًا لأنه مرتبط بإيجاد طريق آمن وفعال بيئة مزدحمة للروبوتات المتنقلة ذات العجلات ، ويعتبر شرطًا أساسيًا مهمًا لنجاح أي مشروع روبوت متنقل. تقترح هذه الورقة التخطيط الأسرع والأمثل لمسار الروبوت المتحرك ذي مع تجنب الاصطدام باستخدام خوارزمية تسمى تحسين الذئب الرمادي (GWO) كطريقة للعثور على أقصر الطرق وأكثرها أمانًا. تهدف أهداف...

Presently, the introduction of intelligent models to optimize structural problems has become an important issue in civil engineering and almost all other fields of engineering. Optimization models in artificial intelligence have enabled us to provide powerful and practical solutions to structural optimization problems. In this study, a novel method for optimizing structures as well as solving s...

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 ...