Application of bi-objective genetic programming for optimizing irrigation rules using two reservoir performance criteria-Reference-Cited by-同舟云学术

Application of bi-objective genetic programming for optimizing irrigation rules using two reservoir performance criteria

Published:2019-05-22 Issue:1 Volume:19 Page:55-65
ISSN:1571-5124
Container-title:International Journal of River Basin Management
language:en
Short-container-title:International Journal of River Basin Management

Author:

Ashofteh Parisa-Sadat¹,Bozorg-Haddad Omid²,Loáiciga Hugo A.³

Affiliation:

1. Department of Civil Engineering, University of Qom, Qom, Iran

2. Department of Irrigation & Reclamation, Faculty of Agricultural Engineering & Technology, College of Agriculture & Natural Resources, University of Tehran, Tehran, Iran

3. Department of Geography, University of California, Santa Barbara, CA, USA

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15715124.2019.1613415

Reference28 articles.

1. Optimal Monthly Reservoir Operation Rules for Hydropower Generation Derived with SVR-NSGAII

2. Sustainable water resource management under hydrological uncertainty

3. Multi-reservoir real-time operation rules: a new genetic programming approach

4. A niching genetic programming-based multi-objective algorithm for hybrid data classification

5. Development of Adaptive Strategies for Irrigation Water Demand Management under Climate Change

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