HIGHLIGHTS
- who: Tao Zhang from the College of Systems Engineering, National University of Defense Technology, Changsha, China have published the paper: Surrogated-assisted multimodal multi-objective optimization for hybrid renewable energy system, in the Journal: (JOURNAL)
- what: Obtaining all Pareto solutions for MMOPs is difficult for traditional MOEAs due to the following reasons: the use of the convergence-first strategy to select a new generation will cause premature population; the crowding distance in the objective space will force the algorithm to remove solutions with similar objective values. To better address HRES, in this study, the authors . . .
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.