Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains. In this type network, training and selecting parameters that define networks architecture play an important role enhancing the accuracy network's output; Therefore, Prior training, those must be optimized. Grey Wolf Optimizer (GWO) has been considered one efficient developed approaches Swarm Intellige...

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 ...

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...

Reliability allocation to increase the total reliability has become a successful way efficiency of complex industrial system designs. A lot research in past have tackled this problem great extent. This is evident from different techniques developed so far achieve target. Stochastic metaheuristics like simulated annealing, Tabu search (TS), Particle Swarm Optimization (PSO), Cuckoo Search (CS), ...

Abstract When investing in new stocks, it is difficult to predict returns and risks a general way without the support of historical data. Therefore, portfolio optimization model with an uncertain rate return proposed. On this basis, prospect theory used for reference, then established from perspective expected utility maximization. An improved gray wolf (GWO) algorithm designed because complex ...

Pest detection in agricultural crop fields is the most challenging task, so an effective pest technique required to detect insects automatically. Image processing techniques are widely preferred science because they offer multiple advantages like maximal protection, improved management and productivity. On other hand, developing automatic monitoring system dramatically reduces workforce errors....

The Controlled Source Audio-frequency Magnetotellurics (CSAMT) is a geophysical method utilizing artificial electromagnetic signal source to estimate subsurface resistivity structures. One-dimensional (1D) inversion modelling of CSAMT data non-linear and the solution can be estimated by using global optimization algorithms. Particle Swarm Optimization (PSO) Grey Wolf Optimizer (GWO) are well-kn...

Exploration and exploitation are two essential components for any optimization algorithm. Much exploration leads to oscillation and premature convergence while too much exploitation slows down the optimization algorithm and the optimizer may be stuck in local minima. Therefore, balancing the rates of exploration and exploitation at the optimization lifetime is a challenge. This study evaluates ...

Emotion recognition or detection is broadly utilized in patient–doctor interactions for diseases, such as schizophrenia and autism the most typical techniques are speech facial recognition. However, features extracted from these behavior-based emotion recognitions not reliable since humans can disguise their emotions. Recording voices tracking expressions a long term also efficient. Therefore, ...