Tag: multi-objective optimization

A new systematic review in Artificial Intelligence Review maps how multi-objective optimization algorithms are being used to balance accuracy, false ...

An integrated framework combining LSTM deep learning, explainable AI, and NSGA-III multi-objective optimization predicts drilling speed gains of up to ...

Researchers at the Dalian Institute of Chemical Physics have used a deep reinforcement learning framework with adaptive noise scaling to ...

Researchers have developed a multi-objective path-planning framework that uses Voronoi partitioning and urgency-based routing to extend the lifetime of rechargeable ...

Researchers in China have developed a rescheduling-based optimization framework and an improved golden jackal algorithm that keep flexible job shops ...

Researchers have extended the nature-inspired Artificial Ecosystem-based Optimization algorithm into a multi-objective framework that combines an external archive, shift-based density ...

A new eco-design framework links component-level design changes, product lifespan, reliability, carbon emissions, and cost in electrical and electronic equipment, ...

Researchers have developed MORSE, a training-free method that treats evidence selection in retrieval-augmented question answering as a multi-objective subset optimization ...

Researchers in the Philippines used fuzzy multi-objective optimization to identify electro-Fenton operating conditions that degrade the antibiotic norfloxacin slightly faster ...

A whole-chain life cycle assessment and multi-objective optimization of China's Qiongzhong-Lvcheng orange industry shows that restructuring product flows can raise ...