WASPAS Application and Evolutionary Algorithm Benchmarking in Optimal Reservoir Optimization Problems-Reference-Cited by-同舟云学术

WASPAS Application and Evolutionary Algorithm Benchmarking in Optimal Reservoir Optimization Problems

Published:2017-01 Issue:1 Volume:143 Page:04016070
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Bozorg-Haddad Omid¹,Azarnivand Ali²,Hosseini-Moghari Seyed-Mohammad³,Loáiciga Hugo A.⁴

Affiliation:

1. Professor, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 31587-77871 Tehran, Iran (corresponding author).

2. Ph.D. Student, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 31587-77871 Tehran, Iran.

3. Ph.D. Candidate, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 31587-77871 Tehran, Iran.

4. Professor, Dept. of Geography, Univ. of California, Santa Barbara, CA 93016-4060.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000716

Reference56 articles.

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4. Weed optimization algorithm for optimal reservoir operation;Asgari H.;J. Irrig. Drain Eng.,2015

5. Evaluation of Climatic-Change Impacts on Multiobjective Reservoir Operation with Multiobjective Genetic Programming

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