作者: Omid Bozorg Haddad , Seyed-Mohammad Hosseini-Moghari , Hugo A. Loáiciga
DOI: 10.1061/(ASCE)WR.1943-5452.0000558
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摘要: AbstractThe optimal operation of reservoir systems to meet water demand is a complex and nonlinear problem. This paper applies the biogeography-based optimization (BBO) algorithm solve problems. The BBO first verified with minimization three mathematical benchmark functions (Sphere, Rosenbrock, Bukin6). In addition, was applied single system four-reservoir system. performance compared that genetic (GA) in solving results show minimized accurately, outperformed GA this respect. case single-reservoir hydropower problem reached near-optimal solution. values objective function averaged 1.228 1.746 GA, respectively. global solution programming method equals 1.213. four-...