HIGHLIGHTS
- who: Hyper-heuristic et al. from the The Automated Scheduling Optimisation and Planning Research Group, School of Computer Science, University of Nottingham, Nottingham , BB, UK have published the research work: Progress in Artificial_Intelligence (2019) 8:143-165 A review on the self and dual interactions between machine_learning, in the Journal: (JOURNAL)
- what: Differently, the study provides a global overview of the interaction between ML and optimisation as well as those within themselves as shown in Fig 1. The changeable factors within which the authors aim to extract hidden patterns An objective/cost/fitness function is . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.