Abstract In the research projects and industrial severe optimization problems can be met, where number of variables is high, there are a lot constraints, they highly nonlinear mostly discrete issues, running time calculated sometimes in weeks with usual methods on an average computer. most cases logistics industry, robust constraint time. The optimizations typical office configuration, company ...

Combined plasma–coil optimization approaches for designing stellarators are discussed and a new method calculating free-boundary equilibria multiregion relaxed magnetohydrodynmics (MRxMHD) is proposed. Four distinct categories of stellarator optimization, two which novel approaches, the fixed-boundary generalized quasi-free-boundary (coil) optimization. These described using MRxMHD energy funct...

The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches‎. ‎Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting knowledge from large amount of data‎. ‎In this paper‎, ‎a methodology has been employed to opt...