A multi-objective network reconfiguration framework using the Grey Wolf Optimizer successfully minimized active power losses and mitigated voltage unbalances across ...
A reliability-based optimization study reveals that retaining wall cost and embodied carbon align closely while surrogate models unexpectedly slow down ...
Researchers developed IGWO-MRC, an optimization-guided deep learning framework that integrates chaotic swarm feature selection with residual cross-modal fusion to improve ...
A new hybrid feature selection framework combining Particle Swarm Optimization and Grey Wolf Optimizer achieves high accuracy in detecting IoT ...
Engineering researchers have developed a hybrid optimization algorithm combining grey wolf and artificial bee colony techniques to enhance PID controller ...
A new simulation study shows that a disturbance-observer-based adaptive neuro-fuzzy sliding mode controller tuned by a chaotic grey wolf optimizer ...
A new video-based diagnostic model combining the Grey Wolf Optimizer and a neural network identifies faults in oil-immersed transformers online ...
A hybrid ConvNeXt and Random Walk Grey Wolf Optimizer framework classified six categories of cotton leaf conditions with 98.39% accuracy ...
A simulation study found that coupling stage-specific UAV energy costs to an improved Grey Wolf Optimizer reduced 52-site monitoring mission ...
Researchers combined deep learning, grey wolf optimization, explainable heatmaps and a Gemini-powered chatbot to detect finger millet diseases with 98.36 ...
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