化工学报2016，Vol.67Issue(3)：773-778,6.DOI:10.11949/j.issn.0438-1157.20151812
改进生物地理学优化算法及其在汽油调合调度中的应用
Improved biogeography-based optimization algorithm and its application in gasoline blending scheduling
摘要
Abstract
The biogeography-based optimization (BBO) is a new swarm intelligence algorithm. To improve the global searching ability, solve the prematurity of BBO, a heuristic mutation operator is designed, which based on the differential information among the population individuals. It makes up the lack of the heuristic information on Gauss, Cauchy mutation operators. And the nonlinear migration model was introduced to the BBO considering to the natural environment. Tests are carried out through four standard test functions on the standard BBO, GMBBO, CMBBO and HMBBO independently, the results shows that HMBBO has a preferable convergence rate and search accuracy. The application of gasoline blending scheduling shows that HMBBO is effective.关键词
算法/优化/仿真/汽油调合和调度优化Key words
algorithm/optimization/simulation/gasoline blending scheduling分类
能源科技引用本文复制引用
王玉梅,程辉,钱锋..改进生物地理学优化算法及其在汽油调合调度中的应用[J].化工学报,2016,67(3):773-778,6.基金项目
国家自然科学基金项目（61333010，61422303）；上海市科学技术委员会项目(13111103800)。@@@@supported by the National Natural Science Foundation of China(61333010,61422303) and Shanghai Science and Technology Committee Program (13111103800) （13111103800）
