Weed Optimization Algorithm for Optimal Reservoir Operation

被引：82
|
作者：
Asgari, Hamid-Reza [1 ]
Bozorg Haddad, Omid [1 ]
Pazoki, Maryam [2 ]
Loaiciga, Hugo A. [3 ]
机构：
[1] Univ Tehran, Coll Agr & Nat Resources, Fac Agr Engn & Technol, Dept Irrigat & Reclamat Engn, Tehran 3158777871, Iran
[2] Univ Tehran, Coll Environm Engn, Fac Environm, Tehran 3158777871, Iran
[3] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
来源：
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING | 2016年 / 142卷 / 02期
关键词：
Optimization; Reservoir operation; Genetic algorithm; Weed optimization algorithm; ECONOMIC-DISPATCH; IWO ALGORITHM; SYSTEM; RULES; EXTRACTION; DESIGN;
D O I：
10.1061/(ASCE)IR.1943-4774.0000963
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
This study introduces the weed optimization algorithm (WOA) to optimal reservoir operation. The WOA is a metaheuristic optimization method inspired by weeds' life cycle. The effectiveness of the WOA is demonstrated with the optimization of mathematical functions and reservoir systems. The WOA is applied in continuous-time and discrete-time formulations of reservoir-operation optimization and its results are compared with global optimal solutions obtained with nonlinear programming (NLP), linear programming (LP), and the genetic algorithm (GA). The results show the WOA's fast convergence to solutions that are very near the global optimal solutions of the reservoir optimization problems. (C) 2015 American Society of Civil Engineers.
引用
收藏
页数：11
相关论文
共 50 条
  • [1] Optimal Operation of Hydropower Reservoir Systems Using Weed Optimization Algorithm
    Azizipour, Mohammad
    Ghalenoei, Vahid
    Afshar, M. H.
    Solis, S. S.
    WATER RESOURCES MANAGEMENT, 2016, 30 (11) : 3995 - 4009
  • [2] Optimal Operation of Hydropower Reservoir Systems Using Weed Optimization Algorithm
    Mohammad Azizipour
    Vahid Ghalenoei
    M. H. Afshar
    S. S. Solis
    Water Resources Management, 2016, 30 : 3995 - 4009
  • [3] Application of Cat Swarm Optimization Algorithm for Optimal Reservoir Operation
    Bahrami, Mahdi
    Bozorg-Haddad, Omid
    Chu, Xuefeng
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2018, 144 (01)
  • [4] Biogeography-Based Optimization Algorithm for Optimal Operation of Reservoir Systems
    Bozorg Haddad, Omid
    Hosseini-Moghari, Seyed-Mohammad
    Loaiciga, Hugo A.
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2016, 142 (01)
  • [5] Optimal Reservoir Operation Based on Improved Particle Swarm Optimization Algorithm
    Tian, Jiao
    Xie, Jiancang
    Xing, Xiaohong
    ADVANCES IN HYDROLOGY AND HYDRAULIC ENGINEERING, PTS 1 AND 2, 2012, 212-213 : 502 - 508
  • [6] Reservoir operation management using a new hybrid algorithm of Invasive Weed Optimization and Cuckoo Search Algorithm
    Trivedi, Mugdha
    Shrivastava, R. K.
    AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY, 2023, 72 (08) : 1607 - 1628
  • [7] Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation
    Afshar, A.
    Bozorg-Haddad, Omid
    Marino, M. A.
    Adams, B. J.
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2007, 344 (05): : 452 - 462
  • [8] Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm
    Ehteram, Mohammad
    Singh, Vijay P.
    Karami, Hojat
    Hosseini, Khosrow
    Dianatikhah, Mojgan
    Hossain, Md. Shabbir
    Fai, Chow Ming
    El-Shafie, Ahmed
    WATER, 2018, 10 (09)
  • [9] A two-layer improved invasive weed optimization algorithm for optimal operation of cascade reservoirs
    Fang, Guo-hua
    Wu, Cheng-jun
    Liao, Tao
    Huang, Xian-feng
    Qu, Bo
    WATER SUPPLY, 2020, 20 (06) : 2311 - 2323
  • [10] FP genetic algorithm for reservoir operation optimization
    Ma, Guangwen
    Wang, Li
    Walters, G.A.
    Chengdu Kejidaxue Xuebao/Journal of Chengdu University of Science and Technology, 1996, (01):
12345