This research presents a hybrid approach for path planning of autonomous underwater vehicles (AUVs). During planning, static obstacles affect the desired and distance which result in collision penalties. In this study, merits grey wolf optimization (GWO) genetic algorithm (GA) bionic-inspired algorithms are integrated to implement (HGWO) allows AUVs reach their destination safely an obstacle ri...

Effort estimation is the most critical activity for success of overall solution delivery in software engineering projects. In this context, paper’s main contributions to literature on effort are twofold. First, paper examines application meta-heuristic algorithms have a logical and acceptable parametric model estimation. Secondly, unravel benefits nature-inspired usage optimizing Deep Learning ...

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...

The multi-input multi-output (MIMO) technique is becoming grown and integrated into wireless wideband communication. MIMO techniques suffer from a large-scale linear dynamic problem, it will be easy to adjust the proportional-integral-derivative (PID) of continuous system, unlike nonlinear model. This work displays tuning PID controller for systems utilizing statistical grey wolf optimization (...

In order to address the challenge of early detection cotton verticillium wilt disease, naturally infected plants in field, which were divided into five categories based on degree disease severity, have been investigated this study. Canopies analyzed with spectral data measured, and various preprocessing techniques, including multiplicative scatter correction (MSC) MSC-continuous wavelet analysi...

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, ...

In this study, an automatic test platform suitable for steering gears was established, which can four sets of rudder systems separately. addition, we propose anomaly detection method based on deep learning technology to complete the automated multi-fault classification gear test. This paper combines particle swarm optimization algorithm and grey wolf optimize convolutional neural networks (HPSO...

At present, the restructured electricity market has been a prominent research area and attracted attention. The motivation of restructuring in power system is to introduce competition at various levels generate correct economic signal reduce generation cost. As result, it required have an effective price scheme deliver useful information about power. pricing mechanism dependent on demand load l...