作者: Yulei Ge , Shurong Li , Yuhuan Shi , Lu Han
DOI: 10.1080/0305215X.2018.1508573
关键词: Hamiltonian mechanics 、 Applied mathematics 、 Computer science 、 Adaptive strategies 、 Function approximation 、 Flooding (computer networking) 、 Optimization problem 、 Haar 、 Polymer flooding 、 Adaptive wavelet
摘要: ABSTRACTThis article presents an adaptive rationalized Haar function approximation method to solve dynamic optimization with mixed-integer and discontinuous controls. Three measures are taken deal the discontinuity. First, problem is converted into a multi-stage by non-uniform control vector parameterization. Secondly, strategy proposed regulate interval division order of vectors. Thirdly, structure detection presented refine subintervals, in which adjacent arcs same input type merged one modify redundant subintervals. During this solution, restriction realized integer truncation strategy. Combined Hamiltonian function, validation principle shown verify optimality solution. Finally, applied enhanced oil recovery for alkali–surfactant–polymer flooding. The effectiveness ...