Using Fast Messy Genetic Algorithm to Optimally Schedule Pump Operation-Reference-Cited by-同舟云学术

Using Fast Messy Genetic Algorithm to Optimally Schedule Pump Operation

Published:2019-09-19 Issue: Volume: Page:509-512
ISSN:2522-8714
Container-title:Frontiers in Water-Energy-Nexus—Nature-Based Solutions, Advanced Technologies and Best Practices for Environmental Sustainability
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Author:

Karami Javad,Moghaddam Alireza,Faridhosseini Alireza,Ziaei Ali Naghi,Rouholamini Mahdi,Moghbeli Mohammadamin

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-13068-8_127

Reference7 articles.

1. Bentley Systems. (2009a). WaterGEMS v8i User Manual. Haestad Solution Center, 27 Siemon Company Drive, Suite200 W, Watertown CT, USA.

2. Giacomello, C., Kapelan, Z., & Nicolini, M. (2012). Fast hybrid optimization method for effective pump scheduling. Journal of Water Resources Planning and Management, 139(2), 175–183.

3. Goldberg, D.E. (1989). Genetic algorithm in search optimization and machine learning. Addison-Wesley Pub

4. Goldberg, E., Deb, K., Kargupta, H., Harik, G. (1993). Rapid, accurate optimisation of difficult problems using fast messy genetic algorithms (Illigal Report 93004). University of Illinois.

5. López-Ibáñez, M., Prasad, T. D., & Peachter, B. (2008). Ant clony optimization for optimal control of pumps in water distribution network. Journal of Water Resource planning and Management, 134, 337–346.

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