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作 者:李红宇 范勤勤 LI Hongyu;FAN Qinqin(Logistics Research Center,Shanghai Maritime University,Shanghai 201306;School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240)
机构地区:[1]上海海事大学物流研究中心,上海201306 [2]上海交通大学电子信息与电气工程学院,上海200240
出 处:《计算机与数字工程》2024年第8期2498-2504,共7页Computer & Digital Engineering
基 金:国家自然科学基金山东联合基金项目(编号:U2006228);国家社会科学基金项目(编号:18BGL103);国家自然科学基金项目(编号:61603244,71904116);上海市科技创新行动计划(编号:19DZ1209600,18DZ1201500)资助。
摘 要:沉管法是建设水下大型隧道工程的重要工法。因此,沉管浮运是一项至关重要的任务。目前研究大都只考虑静态环境下的沉管浮运,但是实际的沉管浮运往往是一个动态多目标优化问题。为此,论文建立沉管浮运动态多目标优化模型。在该模型中,将沉管浮运的效率、安全性、鲁棒性作为三个目标。其次,根据实际情况将浮运方向和水流流速作为模型动态变量。最后,使用基于并行计算和滑动时间窗的动态多目标优化算法来对其进行求解。实验结果表明,相比于新近提出的知名动态多目标进化算法,基于并行计算的滑动时间窗(sliding time window based on parallel computing,STW-PC)方法可以辅助多目标进化算法得到更好解集;可以为动态环境下的沉管浮运提供有效决策支持。The immersed tunnel method is an important method to construct large underwater tunnels.Therefore,the translation of immersed tunnel element is a crucial task.Most existing studies only consider the translation of immersed tunnel element in a static environment,but the actual translation of immersed tunnel element is often a dynamic multi-objective optimization problem.To this end,this paper proposes a dynamic multi-objective optimization model of immersed tunnel element translation.In this model,the translation efficiency,the translation safety,and the robustness are three objectives.Moreover,the translation direction and water flow velocity are used as two dynamic variables.Finally,a dynamic multi-objective optimization algorithm based on parallel computing and sliding time windows(STW-PC)is used to solve it.The experimental results show that the STW-PC method can assist the multi-objective evolutionary algorithm in obtaining better solution sets when compared with a recently proposed dynamic multi-objective evolutionary algorithm,and the proposed algorithm can provide decision support for immersed tunnel element translation in a dynamic environment.
分 类 号:TP276[自动化与计算机技术—检测技术与自动化装置]
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