Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic algorithms in ...
In a new review, researchers from the Xinjiang Institute of Ecology and Geography (XIEF) of the Chinese Academy of Sciences ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results