Parallel Modified Artificial Bee Colony Algorithm for Solving Conditional Nonlinear Optimal Perturbation

Intelligent algorithms have been applied to solving conditional nonlinear optimal perturbation (CNOP), which plays an important role in the study of weather and climate predictability. Single particle intelligent optimization algorithms can get similar CNOP to adjoint method, and show higher time ef...

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Vydáno v:	2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS) s. 333 - 340
Hlavní autoři:	Juhui Ren, Shijin Yuan, Bin Mu
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.12.2016
Témata:	Algorithm design and analysis artificial bee colony algorithm Atmospheric modeling CNOP Genetic algorithms Mathematical model MPI Numerical models Optimization Prediction algorithms Zebiak-Cane model
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