文献类型：会议论文

英文题名：A gradient-based stochastic search approach for optimal harvesting strategy in shrimp culture

作者：Wu Xiang Liu Qiaodan Lei Bangjun Zhang Kanjian

第一作者：Wu Xiang

通信作者：Wu, X[1];Wu, X[2]

机构：[1]Guizhou Normal Univ, Sch Math Sci, Guiyang 550001, Guizhou, Peoples R China;[2]Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China;[3]Guizhou Inst Technol, Sch Elect & Informat Engn, Guiyang 550003, Guizhou, Peoples R China;[4]Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China

第一机构：Guizhou Normal Univ, Sch Math Sci, Guiyang 550001, Guizhou, Peoples R China

通信机构：corresponding author), Guizhou Normal Univ, Sch Math Sci, Guiyang 550001, Guizhou, Peoples R China;corresponding author), Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China.

会议论文集：36th Chinese Control Conference (CCC)

会议日期：JUL 26-28, 2017

会议地点：Dalian, PEOPLES R CHINA

语种：英文

外文关键词：Optimal control; Nonlinear impulsive system; Binary novel variable; Penalty function; Shrimp culture

年份：2017

摘要：This paper considers an optimal harvesting strategy problem arising in shrimp culture. The problem is formulated as an optimal control problem of nonlinear impulsive system. Since the impulsive switching constraints is very complex, the impulsive switching instants are unknown, and the objective function is not continuously differentiable, it is difficult to solve this problem by standard optimization methods. To overcome the difficulty, by introducing a novel binary variable for each sale price of shrimp, relaxing the binary variable, and imposing a penalty function on the relaxation term, the nonlinear impulsive system optimal control problem is transformed into a parameter optimization problem, which can be solved efficiently using any gradient-based optimization technique. Then, a gradient-based stochastic search approach is proposed for solving this problem. Finally, a harvesting strategy problem is presented to illustrate the efficiency of the approach proposed.