Modelling uncertainties in short-term reservoir operation using fuzzy sets and a genetic algorithm / Modélisation d’incertitudes dans la gestion de barrage à court terme grâce à des ensembles flous et à un algorithme génétique-Reference-Cited by-同舟云学术

Modelling uncertainties in short-term reservoir operation using fuzzy sets and a genetic algorithm / Modélisation d’incertitudes dans la gestion de barrage à court terme grâce à des ensembles flous et à un algorithme génétique

Published:2004-12 Issue:6 Volume:49 Page:
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Akter Taslima¹²,Simonovic Slobodan P.¹²

Affiliation:

1. a Department of Civil and Environmental Engineering, University of Western Ontario, London, Ontario N6A 5B9, Canada

2. b Department of Civil and Environmental Engineering, University of Western Ontario, London, Ontario N6A 5B9, Canada

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1623/hysj.49.6.1081.55722

Reference20 articles.

1. Real‐Time Reservoir Operations by Goal Programming

2. Esat, V. & Hall, M. J. (1994) Water resources system optimization using genetic algorithm. In:Hydroinformatics ?94, Proc. First Int. Conf. on Hydroinformatics, 225?231. A.A. Balkema, Rotterdam, The Netherlands.

3. Fahmy, H. S., King, J. P., Wentzel, M. W. & Seton, J. A. (1994) Economic optimization of river management using genetic algorithm. Paper no. 943034,ASAE 1994 Int. Summer Meeting. Am. Soc. Agricultural Engrs, Kansas City, Missouri, USA.

4. Planning Reservoir Operations with Imprecise Objectives

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