Tag: multi-objective optimization

Researchers have developed a fuzzy multi-objective solid transportation model that simultaneously optimizes cost, transit time, and route security under uncertainty ...

A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 percent accuracy in assessing vocational ...

A new study maps how chronic grid unreliability reshapes the optimal design of distributed solar and battery systems, finding that ...

Researchers have designed a triple-pipe reactor that supplies the heat for methanol steam reforming using chemical looping combustion, boosting conversion ...

Researchers in Türkiye combined response surface methodology with an artificial bee colony algorithm to find optimal chloroprene and natural rubber ...

Researchers in China have developed an evolutionary algorithm that classifies decision variables into convergence and diversity roles and uses a ...

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 ...