A diverse human learning optimization algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Global Optimization"
DOI: 10.1007/s10898-016-0444-2
Abstract: Human Learning Optimization is a simple but efficient meta-heuristic algorithm in which three learning operators, i.e. the random learning operator, the individual learning operator, and the social learning operator, are developed to efficiently search the… read more here.
Keywords: algorithm; diverse human; optimization; human learning ... See more keywords
Machine learning in the optimization of robotics in the operative field
Sign Up to like & getrecommendations! Published in 2020 at "Current Opinion in Urology"
DOI: 10.1097/mou.0000000000000816
Abstract: Purpose of review The increasing use of robotics in urologic surgery facilitates collection of ‘big data’. Machine learning enables computers to infer patterns from large datasets. This review aims to highlight recent findings and applications… read more here.
Keywords: learning optimization; robotics; machine; machine learning ... See more keywords
Machine learning optimization of Majorana hybrid nanowires
Sign Up to like & getrecommendations! Published in 2022 at "Physical review letters"
DOI: 10.1103/physrevlett.130.116202
Abstract: As the complexity of quantum systems such as quantum bit arrays increases, efforts to automate expensive tuning are increasingly worthwhile. We investigate machine learning based tuning of gate arrays using the covariance matrix adaptation evolution… read more here.
Keywords: machine; learning optimization; machine learning; optimization majorana ... See more keywords
A Hybrid Learning and Optimization Framework to Achieve Physically Interactive Tasks With Mobile Manipulators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3187258
Abstract: This letter proposes a hybrid learning and optimization framework for mobile manipulators for complex and physically interactive tasks. The framework exploits an admittance-type physical interface to obtain intuitive and simplified human demonstrations and Gaussian Mixture… read more here.
Keywords: mobile manipulators; learning optimization; physically interactive; framework ... See more keywords