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2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)最新文献

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A Survey on Optical Adversarial Examples Against DNNs 针对深度神经网络的光学对抗实例综述
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967715
Haiyan Li, B. Bai, Geyang Xiao
{"title":"A Survey on Optical Adversarial Examples Against DNNs","authors":"Haiyan Li, B. Bai, Geyang Xiao","doi":"10.1109/DOCS55193.2022.9967715","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967715","url":null,"abstract":"Adversarial attack always affects the security of artificial intelligence. In recent years, a new type of non-invasive adversarial attack becomes very popular among the studies for its flexibility and excubility, and this paper has generated great interest in it. In this paper, four types of this kind of adversarial attack are analyzed and discussed in detail: camera high-frequency light, laser, projector and natural light shadow.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121540380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A task allocation scheme generation method for maritime oil spill emergency monitoring based on bilateral matching 基于双边匹配的海上溢油应急监测任务分配方案生成方法
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967701
Xiaotian Liang, Yu Guo, Jiang Jiang, Xueming Xu, Qingqing Yang
{"title":"A task allocation scheme generation method for maritime oil spill emergency monitoring based on bilateral matching","authors":"Xiaotian Liang, Yu Guo, Jiang Jiang, Xueming Xu, Qingqing Yang","doi":"10.1109/DOCS55193.2022.9967701","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967701","url":null,"abstract":"Aiming at the task allocation problem of maritime oil spill emergency monitoring, the bilateral matching theory is applied to standardize the task allocation process and improve the emergency effectiveness. First of all, the task of maritime oil spill emergency monitoring and the monitoring subjects carrying out the tasks are identified, and the specific types, difficulties and risks of the tasks are identified. Then, the task type is introduced to indirectly express the relationship between ‘monitoring subject-task’. On this basis, two concepts of task demand satisfaction and emergency monitoring subject capability competency are proposed to express the preference information of bilateral subjects. And then on the basis of redefining the specific connotation of the basic concept of bilateral matching theory under the background of maritime oil spill emergency monitoring task allocation, a bilateral matching model for task allocation of maritime oil spill emergency monitoring considering attribute priority is constructed. Finally, according to the specific characteristics of the model, a fast generation algorithm of feasible solution is designed to solve the problem. The model proposed in this paper standardizes the task allocation process of emergency monitoring in reality and plays an auxiliary role in improving the efficiency of emergency monitoring.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121881731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Preparation of Shunting Plan for Large Freight Train Depot Based on BST 基于BST的大型货运站调车方案编制
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967724
Jiandong Qiu, W. Ren, Minan Tang, F. Yu, Panpan Ma, Panqi Wang
{"title":"Preparation of Shunting Plan for Large Freight Train Depot Based on BST","authors":"Jiandong Qiu, W. Ren, Minan Tang, F. Yu, Panpan Ma, Panqi Wang","doi":"10.1109/DOCS55193.2022.9967724","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967724","url":null,"abstract":"The shunting operation plan is the specific action plan to ensure the shunting of the large freight train depot at the present stage. The shunting district head relies on it to supervise the implementation of shunting operation and lead the shunting work. Due to different shunting equipment and work division in each depot, there will be differences in the methods of preparing plan. Different preparation methods have a great impact on the efficiency of shunting operation, therefore, mainly studying the preparation method of shunting Plan in depot in this paper, i.e. the plan is obtained by the Binary Sorted Tree (BST). Firstly, the BST in line with the shunting of the depot is established; Secondly, the shunting scheme is obtained by traversing the established BST, and the scheme is screened and evaluated to obtain the optimal scheme; Thirdly, using the computer simulate the collection process and generate the shunting plan. Finally, the C++ program is used to output the shunting operation notice.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123238720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bipartite coordination for the Structurally Balanced Networks 结构平衡网络的二部协调
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967779
Shuhang Yu, Huaguang Zhang
{"title":"Bipartite coordination for the Structurally Balanced Networks","authors":"Shuhang Yu, Huaguang Zhang","doi":"10.1109/DOCS55193.2022.9967779","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967779","url":null,"abstract":"Under the signed graph, the bipartite containment control problem is studied for the linear multi-agent systems. Since structurally balanced is one of the characteristics of signed graph, M-matrix given in many articles on containment control does not apply to this paper. Thus, a concise and novel method is presented to solved such problem. A novel definition about bipartite containment is given to show that agents in different groups will reach different coordination, respectively. A distributed bipartite observer is proposed to estimate the state of the convex hull. Then, a distributed state feedback control protocol is designed to solve the main problem of this paper. Finally, a numerical example is given to illustrate the validity of the theoretical results.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129676603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust Dynamic Positioning of Marine Surface Vessels Under Denial of Service Attacks 拒绝服务攻击下水面舰船的鲁棒动态定位
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967732
Wei Ding, Jin‐Xi Zhang
{"title":"Robust Dynamic Positioning of Marine Surface Vessels Under Denial of Service Attacks","authors":"Wei Ding, Jin‐Xi Zhang","doi":"10.1109/DOCS55193.2022.9967732","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967732","url":null,"abstract":"This paper is concerned with the dynamic positioning problem for a class of marine surface vessels (MSVs) with model uncertainties and environmental disturbances, possibly subject to denial of service (DoS) attacks. To solve this problem, a novel robust control approach is proposed, consisting of a constrained controller and an integration compensator. The former is used to confine the internal errors within the predefined sets, against the model uncertainties and disturbances. The latter works during the DoS attacks to reconstruct the position information. In this way, the satisfactory dynamic positioning performance of the MSVs is guaranteed. Moreover, the control simplicity is preserved, i.e., there is no need to employ specific tools to approximate the model uncertainties, to estimate the disturbances, or to observe the system state. The simulation results on Cybership II illustrate the effectiveness of the proposed control approach.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128747859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Multiobjective Evolutionary Multitasking Algorithm Based on Decomposition and Multiple Knowledge Transfer 基于分解和多重知识转移的多目标进化多任务算法
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967727
Zhongjian Wu, Qingling Zhu, Jianyong Chen
{"title":"A Multiobjective Evolutionary Multitasking Algorithm Based on Decomposition and Multiple Knowledge Transfer","authors":"Zhongjian Wu, Qingling Zhu, Jianyong Chen","doi":"10.1109/DOCS55193.2022.9967727","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967727","url":null,"abstract":"Multiobjective evolutionary multitasking (MOEMT) has become very popular in recent years, as this kind of methods aims to solve a set of multiobjective optimization problems (MOPs) simultaneously, which has been validated to be more promising than the traditional way that solves MOPs separately. However, most existing studies of MOEMT solve the MOP as a whole and use one single knowledge transfer strategy for solving all tasks, which is not so efficient as the MOP could be further decomposed into a set of subproblems and needs different strategies for knowledge transfer. To solve this problem, this paper suggests a new MOEMT algorithm (MOEMTA) based on decomposition and multiple knowledge transfer (MOEMTA-DM). First, the decomposition method is used to transform an MOP in each task into a set of subproblems, and the subproblems with greater performance improvement are chosen. Then their associated solutions will be selected to run multiple knowledge transfer strategies via both implicit and explicit ways, which can share the useful search experience between tasks. This way, computational resources can be adaptively assigned to speed up the solving of all tasks and the effect of knowledge transfer among all tasks can be improved. The effectiveness of the proposed algorithm was verified by studying benchmark multitasking MOPs (MTMOPs). Experimental results showed the proposed algorithm is more effective than other compared MOEMT algorithms.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"6 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114127892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Dynamic Economic Dispatch of Thermal-Wind-Storage Systems Based on Reinforcement Learning 基于强化学习的蓄热系统动态经济调度
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967708
Yuheng Li, Chengfang Hu, Junjie Fu, Shuai Wang
{"title":"Dynamic Economic Dispatch of Thermal-Wind-Storage Systems Based on Reinforcement Learning","authors":"Yuheng Li, Chengfang Hu, Junjie Fu, Shuai Wang","doi":"10.1109/DOCS55193.2022.9967708","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967708","url":null,"abstract":"This paper studies a dynamic economic dispatch (DED) problem which includes thermal and wind-storage hybrid units, aiming at minimizing the total generation cost and penalty costs involving generation regulation, load shedding, and wind curtailment. Each unit is assigned with a fixed, discrete, constrained virtual action set, and its cost function is unknown. Based on the developed model, a reinforcement learning algorithm is applied to solve the DED problem under the wind uncertainty. Simulation results illustrate the effectiveness of the algorithm.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115290401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Path Planning of Mission-driven USVs Based on Stochastic Schemata Exploiter 基于随机模式开发器的任务驱动无人潜航器路径规划
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967704
Liwei Zhi, Y. Zuo, Tieshan Li
{"title":"Path Planning of Mission-driven USVs Based on Stochastic Schemata Exploiter","authors":"Liwei Zhi, Y. Zuo, Tieshan Li","doi":"10.1109/DOCS55193.2022.9967704","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967704","url":null,"abstract":"In recent years, the research on unmanned surface vessels (USVs) has become a new hot spot in the development of intelligent applications in the shipping industry of various countries. With the gradual maturity and popularization of modern information technologies such as computer technology and artificial intelligence, the research on USVs has scientific and technological support, and is developing from theoretical research to application practice. Among them, the autonomous assignment and decision-making coordination of multi-target tasks is one of the important research topics for autonomous navigation of USVs. At the same time, the path planning of UAVs also plays a crucial role in autonomous assignment and navigation. In view of the above points, this paper proposes a heuristic optimization algorithm based on stochastic schemata exploiter (SSE). It is used to solve the path optimization problem of USVs for mission requirements. In the experiment, two combinations of two USVs are considered, and the paths are optimized in the two cases of jointly completing the task and cooperatively completing the task. The algorithm combines the heuristic information of the distribution structure of static obstacles in the environment, expands the obstacles and optimizes the node selection of the USV, so that the USV can avoid the obstacles with a higher probability and find an excellent feasible path, and improve the global search ability. Compared with the genetic algorithm (GA) through simulation experiments, the proposed algorithm presents a significant improvement in timeliness and path optimization.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115734172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Urban Cold Chain Logistics Vehicle Path Optimization Based on IOT Real-Time Traffic 基于物联网实时交通的城市冷链物流车辆路径优化
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967775
Yanan Huang, Lin Pan
{"title":"Urban Cold Chain Logistics Vehicle Path Optimization Based on IOT Real-Time Traffic","authors":"Yanan Huang, Lin Pan","doi":"10.1109/DOCS55193.2022.9967775","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967775","url":null,"abstract":"As the standard of living continues to improve,people’ s daily requirement for fresh products is also growing. This study considers the real-time traffic congestion, divides the road sections, and calculates the actual travel time of each sub-section, analyzes the transportation cost, establishs a mathematical model with the goal of minimizing the cost and solved by improved genetic algorithm. In addition, this study explores effects of discriminate traffic congestion levels on vehicle paths and costs.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126198407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-Driven Optimal Control for Multi-Player Non-Zero-Sum Games with Unknown Dynamics 动态未知的多人非零和博弈的数据驱动最优控制
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI: 10.1109/DOCS55193.2022.9967753
Liao Zhu, Hongbing Xia, Jiaxu Hou, Ping Guo
{"title":"Data-Driven Optimal Control for Multi-Player Non-Zero-Sum Games with Unknown Dynamics","authors":"Liao Zhu, Hongbing Xia, Jiaxu Hou, Ping Guo","doi":"10.1109/DOCS55193.2022.9967753","DOIUrl":"https://doi.org/10.1109/DOCS55193.2022.9967753","url":null,"abstract":"This paper focuses on optimal control problems of discrete-time nonlinear multi-player non-zero-sum games with unknown dynamics. Based on adaptive dynamic programming, a data-driven adaptive critic control method is developed to obtain the optimal strategies. In order to solve multi-player non-zero-sum games, a new globalized dual heuristic dynamic programming design is proposed without a model network. The coupled Hamilton-Jacobi equations are solved by previous and current value functions for the temporal difference errors. Neural networks are used to approximate value functions and optimal strategies, respectively. The weight updating rules for critic networks and action networks are tuned based on the observing data accrued along system trajectories. The stability analysis of all neural network weights is given by the Lyapunov approach. Simulation results are included to verify the performance of the proposed optimal control scheme.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124426728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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