Tag: Multi-objective optimization

Researchers combined an artificial neural network surrogate model with an enhanced NSGA-III algorithm to optimize a 20-tonne wave compensation Stewart ...

Researchers at NIT Durgapur compared NSGA-II, MOSA, and Bayesian optimization for designing tiny keyword spotting models, finding MOSA most reliable ...

Researchers used explainable machine learning and multi-objective optimization to design a biodegradable Zn–Mg–Li alloy that overcomes the strength–ductility trade-off for ...

Researchers at Pacific Northwest National Laboratory have released pyMOODS, an open-source visual analytics framework that uses machine learning and rank-based ...

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 ...

In the ever-evolving world of agricultural technology, a groundbreaking initiative has emerged that promises to change the landscape of frost ...