supported by the National Natural Science Foundation of China(Grant No.40975063);the National Natural Science Foundation of China(Grant No.41331174)
A variant constrained genetic algorithm (VCGA) for effective tracking of conditional nonlinear optimal perturbations (CNOPs) is presented. Compared with traditional constraint handling methods, the treatment of th...
supported bythe National Natural Science Foundation of China(Grant Nos40975063 and 40830955)
The lower bound of maximum predictable time can be formulated into a constrained nonlinear opti- mization problem, and the traditional solutions to this problem are the filtering method and the conditional nonlinear o...
funded by the National Natural Science Foundation of China(Grant No.40830955)
Some variational data assimilation (VDA) problems of time- and space-discrete models with on/off parameterizations can be regarded as non-smooth optimization problems. Same as the sub-gradient type method, intellige...