BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

Machine-Learning-Assisted Swarm Intelligence Algorithm for Antenna Optimization With Mixed Continuous and Binary Variables

Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...
Tech Xplore

Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum annealers

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
IEEE

Nonlinear Mapping Meets Multi-Task Bayesian Optimization: A Knowledge Transfer Perspective

Abstract: Bayesian optimization (BO), a data-efficient method for expensive black-box optimization, has traditionally focused on single-task scenarios, ignoring potential correlations among related ...