EEG analysis aims to help scientists better understand the brain, physicians diagnose and treatment choices of brain-computer interface. Artificial neural networks are among most effective learning algorithms perform computing tasks similar biological neurons in human brain. In some problems, network model's performance might significantly degrade overfit due irrelevant features that negatively...

The non-orthogonal multiple access (NOMA) scheme has proven to be a potential candidate enhance spectral potency and massive connectivity for 5G wireless networks. To achieve effective system performance, user grouping, power control, decoding order are considered fundamental factors. In this regard, joint combinatorial problem consisting of grouping control is considered, obtain high spectral-...

The vehicle routing problem with time windows and simultaneous pick-ups deliveries (VRPTWSPD) is one of the main distribution planning problems. VRPTWSPD aims to find best plan that minimizes number used total travelled distance. Due NP-Hard nature VRPTWSPD, practical large-scale instances cannot be solved optimality within acceptable computational times. Therefore, it necessary develop approxi...

Optimization problems in the Cloud Intrusion Detection System (CIDS) contain numerous conflicting objectives, uni-modal and multi-modal functions difficulty level varying between linear to non-linear limits. The Grey Wolf Optimizer (GWO) is a meta-heuristic technique that implemented based on social behavior of wolves their hunting behavior. Significant improvement exploration exploitation sear...

Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) are well-perform metaheuristic algorithms used by various researchers in solving feature selection problems. Yet, the slow convergence speed issue could demote performance of classification accuracy. Therefore, to overcome this issue, a modified WOA (mWOA) GWO (mGWO) for wrapper-based were proposed study. The mWOA mGWO given new i...

Abstract In the field of transformer fault diagnosis, there are many diagnostic methods. These methods either not high accuracy or used too long. this paper, a dimension learning-based hunting (DLH) search strategy optimization grey wolf algorithm support vector machine (DLH-GWO-SVM) model was proposed. process initializing population, logistic chaotic mapping to improve quality initial positio...

In this study, the morphological galaxy classification process was carried out with a hybrid approach. Since Galaxy may contain detailed information about universe’s formation, it remains current research topic. Researchers divided more than 100 billion galaxies into ten different classes. It is not always possible to understand which class types belong. However, Artificial Intelligence (AI) ca...