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

页数：11

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