A Variant Constrained Genetic Algorithm for Solving Conditional Nonlinear Optimal Perturbations

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 the constraint condition in VCGA is relatively easy to implement. Moreover, it does not r...

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Bibliographic Details
Published in:	Advances in atmospheric sciences Vol. 31; no. 1; pp. 219 - 229
Main Authors:	Zheng, Qin, Sha, Jianxin, Shu, Hang, Lu, Xiaoqing
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 2014 Springer Nature B.V Institute of Science, PLA University of Science and Technology, Nanjing 211101 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029%Troop 94906, People's Liberation Army, Suzhou 215157%Institute of Science, PLA University of Science and Technology, Nanjing 211101
Subjects:	Algorithms Atmospheric Sciences Constraints Earth and Environmental Science Earth Sciences Genetic algorithms Geophysics/Geodesy Mathematical models Meteorology Nonlinearity Operators Optimization Perturbation methods Searching Studies Variance analysis 偏微分方程变种小生境技术扰动梯度下降法求解遗传算法非线性模型 China genetic algorithm conditional nonlinear optimal perturbation adjoint method “on-off” switch "on-off" switch
ISSN:	0256-1530, 1861-9533
Online Access:	Get full text
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