Particle Swarm Optimization and Shuffle Complex Evolution for Calibrating Xinanjiang Model Parameters
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 10, Issue 10
Abstract
Xinanjiang model, a conceptual hydrological model, is well known and widely used in China since 1970s. Xinanjiang model consists of large number of parameters that cannot be directly obtained from measurable quantities of catchment characteristics, but only through model calibration. Parameter optimization is a significant but time-consuming process that is inherent in conceptual hydrological models representing rainfall–runoff processes. This study presents newly developed Particle Swarm Optimization (PSO) and compared with famous Shuffle Complex Evolution (SCE) to auto-calibrate Xinanjiang model parameters. The selected study area is Bedup Basin, located at Samarahan Division, Sarawak, Malaysia. Input data used for model calibration are daily rainfall data Year 2001, and validated with data Year 1990, 1992, 2000, 2002 and 2003. Simulation results are measured with Coefficient of Correlation (R) and Nash-Sutcliffe coefficient (E2). Results show that the performance of PSO is comparable with the famous SCE algorithm. For model calibration, the best R andE2 obtained are 0.775 and 0.715 respectively, compared to R=0.664 and E2=0.677 for SCE. For model validation, the average R=0.859 and average E2=0.892 are obtained for PSO, compared to average R=0.572 and average E2 =0.631 obtained for SCE.Â
Authors and Affiliations
OKelvin Kuok, Po Chan Chiu
Keywords
Related Articles
- EP ID EP650237
- DOI 10.24297/ijct.v10i10.1202
- Views 118
- Downloads 0
University Course Timetabling using Multi-population Genetic Algorithm Guided with Local Search and Fuzzy Logic
Problem of courses timetabling is a time consuming and demanding issues in any education environment that they are involved in every semester. The main aim of timetabling problem is the allocation of a number of courses...
Blind Signal Separation Using an Adaptive Generalized Compound Gamma Distribution
We propose an independent component analysis (ICA) algorithm which can separate mixtures of sub- and super- Gaussian source signals with self-adaptive nonlinearities. The ICA algorithm in the framework of natural Riemann...
Identification of Position DC Motor and Control Using Fuzzy Type 2 Based PSO
This paper presents identification of a position DC motor using least squares analysis to estimate the parameters of an ARX model .Type-2 fuzzy logic controllers is proposed as an alternative solution in the literature w...
Enhancement Electronic evaluation for Semantic Arabic Oral Exam
From the importance of knowledge in the speech, we knew the importance of oral exam. So in this paper we integrated BOW (Bag of Word), LSA(Latin Semantic Analysis), ASR (automatic speech recognition), zero crossing rate,...
Development of An Examination Authentication Embedded System Based on Fingerprint Approach
Security is crucial all around. Access into institutions, examination centers, organizations or even estates ought to be controlled and closely monitored through a verification system. The method of authenticating a stud...