化学工程2024，Vol.52Issue(5)：85-90,6.DOI:10.3969/j.issn.1005-9954.2024.05.014
混合策略的沙猫算法求解化工动态优化问题
Hybrid sand cat algorithm for solving dynamic optimization problems in chemical engineering
摘要
Abstract
The solution of chemical dynamic optimization problems is the basis for realizing the automatic control of chemical processes,which has both theoretical and practical significance for environmental protection and economic benefits.A mixed-strategy sand cat optimization algorithm was proposed to achieve efficient optimization of the reactor.First,for the problem that the population initialization of sand cat algorithm lacked diversity and was easy to aggregate,Circle chaotic mapping was introduced to initialize the population,which improved the diversity.Second,for the problem that the sand cat algorithm converged slowly in the late iteration and was easy to fall into the local optimum,a stochastic wandering strategy was introduced.At the same time,the Cauchy variation strategy was used to perturb the global optimal solution and generated a new solution to avoid falling into the local optimum and enhanced the local search capability.Finally,it was applied to three challenging chemical dynamic optimization engineering problems and analyzed in comparison with other methods.The results show that the improved algorithm has stronger optimization and solution capabilities,proving its effectiveness and superiority.关键词
过程控制/动态优化/全局最优/沙猫优化算法Key words
process control/dynamic optimization/global optimum/sand cat optimization algorithm分类
信息技术与安全科学引用本文复制引用
胡坤,莫愿斌..混合策略的沙猫算法求解化工动态优化问题[J].化学工程,2024,52(5):85-90,6.基金项目
国家自然科学基金资助项目(21466008,21566007,21968008) （21466008,21566007,21968008）
广西自然科学基金资助项目(2019GXNSFAA185017) （2019GXNSFAA185017）
广西民族大学科研项目(2021MDKJ004) （2021MDKJ004）
广西民族大学研究生教育创新计划资助项目(gxun-chxs2021064) （gxun-chxs2021064）
