Tag: multi-objective optimization

A neural network predictive control framework that jointly optimizes thermal comfort, daylighting, energy use, and life-cycle cost cut a school ...

A new hybrid Pareto-safe distributional reinforcement learning scheduler balances latency, energy, SLA, and load balance in cloud task allocation while ...

A new DDPG-based scheduling framework called SPARCD uses vehicle position prediction, action masking, and state filling to cut task interruption ...

A new multi-objective optimization study finds that coal-to-hydrogen plants paired with carbon capture can cut emissions by over 16 percent ...

A new review shows how combining design of experiments with machine learning can transform hydrothermal carbonization from empirical tuning into ...

A hyper-heuristic framework that dynamically selects routing strategies based on real-time network conditions extends wireless network lifetime by up to ...

The study's framing of geopolymer optimization reflects a broader shift in construction materials research away from single-property maximization toward balanced, ...

Researchers in Tamil Nadu have combined IoT sensing, stacked ensemble machine learning, and fuzzy goal programming to turn textile wastewater ...

Researchers converted HDPE plastic waste into pyrolysis oil, blended it with diesel, and used machine learning with a genetic algorithm ...

A new two-stage framework couples improved wind and solar power forecasting with multi-objective shared energy storage planning, achieving a 90.3 ...