A Computational Experiments Mode for the ERSNWTP Configuration and Scheduling

Article Preview

Abstract:

The Calculated experimental research mode and induction intervention regulation management methods of the Eastern Route Water Resources Configuration and scheduling of the South-to-North Water Transfers with are proposed based on the Complex adaptive system paradigm in the paper. We use "communication" to replace pure "technical economic optimization", and it has the characteristic of interactive-coordination-adaptation. Through the researching on non-traditional (based on calculated experimental and data driven) complexity theory and method of modeling which was different with the traditional accurate modeling, designed the "data-analytic-identify-regulation" feedback circular Agent calculation experimental mode, as the basis of multistage information calculation and simulation.Then we proposed the Induction of intervention control management method use Multi-Agent collaborative computing technology, in order to control and improve the current performance of logistics, information flow, capital flow for water transfer system .

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2635-2640

Citation:

Online since:

November 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Shouke Wei,Hong Yang, Karim Abbaspour, Jamshid Mousavi and Albrecht Gnauck,Game theory based models to analyze water conflicts in the Middle Route of the South-to-North Water Transfer Project in China,Water Research,2010, 44(8)

DOI: 10.1016/j.watres.2010.01.021

Google Scholar

[2] JIANG Yun-zhong; ZHAO Hong-li; DONG Yan-jun; LU Fan; YIN Jun-xin; WANG Hai-chao; GAN Zhi-guo; SHEN Yuan-yuan, Key Technology Research of Water Resources Operation for Middle Route Project of South-to-North Water Diversion .South-to-North Water Transfers and Water Science & Technology,2007 ,5(4).

DOI: 10.3724/sp.j.1201.2011.01021

Google Scholar

[3] LI Chen-ming; XU Li-zhong; DAI Zhi-bo; WANG Jian-ying; ZHONG Ping-an, Multi-Agent Interaction and Cooperation Simulation Using Swarmof Inter-basin Water Transfer; Journal of System Simulation, 2008,20(8).

Google Scholar

[4] Wang Guangqian,Wei Jiahua,Water resources regulation modeling and its application for river basin,Beijing: Science Press,2006.

Google Scholar

[5] Li Jian-xun,Xie Jian-cang,Shen Bing,Zhang Chen,Secondary water distribution based on game analysis and solution by improved genetic algorithm,Systems Engineering-Theory & Practice, 2010, 30 (10)

Google Scholar

[6] Jin Shuai,Sheng zhao-han,Liu xiao-feng,Complexity Analysis on Watershed System and Adaptive Management,China population, Resources and environment,2010,20(18)

Google Scholar

[7] Research special column on the Santa Fe Institute(SFI):http://www.santafe.edu/research/,(2010)

Google Scholar

[8] Homepage on Center for the Study of Complex Systems, University of Michigan:http://www.swarm.org,2011.12

Google Scholar

[9] Henryk F. R. Arciszewski, Tjerk E. de Greef, and Jan H. van Delft,Adaptive Automation in a Naval Combat Management System,IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS-PART A: SYSTEMS AND HUMANS, 2009, 39( 6)

DOI: 10.1109/tsmca.2009.2026428

Google Scholar

[10] Roel Boumen, Ivo S. M. de Jong, J. M. G. Mestrom,Integration and Test Sequencing for Complex Systems,IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS-PART A: SYSTEMS AND HUMANS, 2009, 39 (1)

DOI: 10.1109/tsmca.2008.2006374

Google Scholar

[11] Gintis, Herbert. Strong Reciprocity and Human Sociality, Journal of Theoretical Biology, 2000, 206(Special Issue)

Google Scholar

[12] Z. Zhang,L. Jia, Y.Chai; Reserch on Elementary Principals of Complex System Control; The 3rd International Conference on Innovative Computing Information and Control,(2008)

DOI: 10.1109/icicic.2008.452

Google Scholar

[13] C.R. Shalizi K.L. Shalizi J.P. Crutchfield, Pattern Discovery in Time Series, Part I: Theory, Algorithm, Analysis, and Comvergence; SFI Working Paper, (2002)

Google Scholar