NDLI: DNA accelerating evolutionary algorithm and its application in the parameter optimization of Muskingum routing model

Content Provider	IEEE Xplore Digital Library
Author	Xiaohua Yang Jianqiang Li
Copyright Year	2010
Description	Author affiliation: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, 100875, China (Xiaohua Yang) \|\| Water Resources and Hydropower Planning and Design, General Institute, MWR, Beijing 100011, China (Jianqiang Li)
Abstract	In order to reduce the computational load and improve the computational accuracy for parameter optimization of Muskingum routing model, a new algorithm, DNA accelerating evolutionary algorithm (DNAAEA) is proposed. With the shrinking of searching range, the method gradually directs to optimal result with the excellent individuals obtained by DNA evolutionary algorithm. Its global convergence is analyzed. Its efficiency is verified by application of Muskingum routing model. Compared with standard binary-encoded genetic algorithm (SGA), real-valued accelerating genetic algorithm (RAGA), least residual square algorithm (LRSM) and the test method (TM), DNAAEA has higher precision and rapider convergent speed. It is good for the global optimization in the practical water environmental models.
Starting Page	3914
Ending Page	3917
File Size	248347
Page Count	4
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584756
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Muskingum routing model optimization DNA global convergence Routing DNA evolutionary algorithm Mathematical model Acceleration Optimization Biological cells
Content Type	Text
Resource Type	Article

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