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面向任务的重叠联盟结构生成计算复杂性

控制理论与应用 2024年第1期41卷 163-171页

作者：张国富宋晓晓苏兆品岳峰合肥工业大学计算机与信息学院安徽合肥230601 合肥工业大学智能互联系统安徽省实验室安徽合肥230009 合肥工业大学工业安全应急技术安徽省重点实验室安徽合肥230601

传统的重叠联盟形成问题大都聚焦智能体,鲜有从任务视角出发.为此,本文首先构建了一种面向任务的重叠联盟结构生成模型,并分析了其解空间和相关决策问题的计算复杂性.此外,基于流网络分别设计了相应的孤立联盟、重叠联盟、重叠联盟结构... 详细信息

传统的重叠联盟形成问题大都聚焦智能体,鲜有从任务视角出发.为此,本文首先构建了一种面向任务的重叠联盟结构生成模型,并分析了其解空间和相关决策问题的计算复杂性.此外,基于流网络分别设计了相应的孤立联盟、重叠联盟、重叠联盟结构成功性判别算法和最优重叠联盟结构生成算法.分析结果表明,判别孤立联盟、重叠联盟、重叠联盟结构的成功性的时间复杂度均与智能体数和任务数呈多项式关系,而搜索最优重叠联盟结构的时间复杂度与智能体数和任务数呈指数关系.最后,通过仿真实验验证了上述结果.

关键词：多智能体系统重叠联盟结构生成计算复杂性成功性判别流网络

基于信息元结构编码的城市轨道交通应急处置流程可视化方法研究

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物流工程与管理 2024年第6期46卷 52-58,67页

作者：苏思聘王奋刘志钢上海工程技术大学城市轨道交通学院上海201620

为解决复杂业务流程可视化展示时信息量大、结构层次混乱等问题,文中提出一种基于信息元结构编码的层级可视化方法。以轨道交通中触网失电处置流程为例展开分析,首先构建信息元网络拓扑结构,将“操作任务-信息图元”之间的关系转化为“... 详细信息

为解决复杂业务流程可视化展示时信息量大、结构层次混乱等问题,文中提出一种基于信息元结构编码的层级可视化方法。以轨道交通中触网失电处置流程为例展开分析,首先构建信息元网络拓扑结构,将“操作任务-信息图元”之间的关系转化为“信息图元-信息图元”关联的量化数据,建立信息图元网络节点综合重要度评价指标,实现对复杂业务流程关键信息的显示层级划分,并对划分结果设计眼动实验。实验表明,基于信息元结构分级的界面搜索效率更高,可降低用户认知负荷,提高任务操作绩效,验证了所提方法的合理性与有效性。

关键词：城市轨道交通复杂网络信息层级信息可视化

Influencing Factors on Rice Sheath Blight Epidemics in Integrated Rice-Duck System

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Journal of Integrative Agriculture 2012年第9期11卷 1462-1473页

作者： su pin LIAO Xiao-lan ZHANG Ya HUANG Huang College of Bio-Safety Science and Technology Hunan Agricultural University Changsha 410128 P.R.China College of Agronomy Hunan Agricultural University Changsha 410128 P.R.China

Sheath blight, a disease caused by the fungus Rhizoctonia solani Kuhn （anamorph）, has been the most economically significant disease of rice. It was frequently reported that the disease was well-controlled in integrated rice-duck system without the employment of fungicides. However, the effecting factors behind this phenomenon were rarely reported. In this research, experiment was carried out between two treatments, rice combined with ducks （RD） and conventional rice field without ducks rearing （CK） in early season rice paddy, to investigate the variations of sclerotia in floodwater and on rice plant, microclimate 10 cm above the waterline in rice paddy and activity of protective enzymes in rice plants. The results showed that the floating sclerotia in floodwater in RD was 86-91% lower than that in CK, and adhering sclerotia in rice plant in RD was 67-78% lower than that in CK. The relative humidity tested significantly lower and light intensity tested significantly higher in RD. The temperature in the early rice growth stages in RD was slightly lower than that in CK, but it was significantly higher （32.3-36.5~C） in the middle stage rice growth stages. The polyphenoloxidase （PPO） activity in RD were lower than that in CK, but the enhanced activity of phenylalanine ammonia-lyase （PAL）, peroxidase （POD） and Chitinase was observed in different stages of rice growth in RD, especially the Chitinase which showed higher activity in all investigating days.

关键词： rice sheath blight integrated rice-duck system sclerotia microclimate protective enzyme

Using Computational Intelligence Algorithms to Solve the Coalition Structure Generation Problem in Coalitional Skill Games

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Journal of Computer Science & Technology 2016年第6期31卷 1136-1150页

作者： Yang Liu Guo-Fu Zhang Zhao-pin su Feng Yue Jian-Guo Jiang School of Computer and Information Hefei University of Technology Hefei 230009 China InteUigent Manufacturing Institute Hefei University of Technology Hefei 230009 China Department of Science and Technology Management Hefei University of Technology Hefei 230009 China

Coalitional skill games （CSGs） are a simple model of cooperation in an uncertain environment where each agent has a set of skills that are required to accomplish a variety of tasks and each task requires a set of skills to be completed, but each skill is very hard to be quantified and can only be qualitatively expressed. Thus far, many computational questions surrounding CSGs have been studied. However, to the best of our knowledge, the coalition structure generation problem （CSGP）, as a central issue of CSGs, is extremely challenging and has not been well solved. To this end, two different computational intelligence algorithms are herein evaluated： binary particle swarm optimization （BPSO） and binary differential evolution （BDE）. In particular, we develop the two stochastic search algorithms with two-dimensional binary encoding and corresponding heuristic for individual repairs. After that, we discuss some fundamental properties of the proposed heuristic. Finally, we compare the improved BPSO and BDE with the state-of-the-art algorithms for solving CSGP in CSGs. The experimental results show that our algorithms can find the same near optimal solutions with the existing approaches but take extremely short time, especially under the large problem size.

关键词： coalitional skill game coalitional structure generation two-dimensional binary encoding heuristic individual repair

Path Selection in Disaster Response Management Based on Q-learning

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International Journal of Automation and computing 2011年第1期8卷 100-106页

作者： Zhao-pin su Jian-Guo Jiang Chang-Yong Liang2＇ 3 Guo-Fu Zhang Guo-Fu Zhang Key Laboratory of Special Display Technology （Hefei University of Technology） Ministry of Education Hefei 230009 PRC School of Computer and Information Hefei University of Technology Hefei 230009 PRC Postdoctoral Research Station for Management Science and Engineering Hefei University of Technology Hefei 230009 PRC Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei 230009 PRC

suitable rescue path selection is very important to rescue lives and reduce the loss of disasters, and has been a key issue in the field of disaster response management. In this paper, we present a path selection algorithm based on Q-learning for disaster response applications. We assume that a rescue team is an agent, which is operating in a dynamic and dangerous environment and needs to find a safe and short path in the least time. We first propose a path selection model for disaster response management, and deduce that path selection based on our model is a Markov decision process. Then, we introduce Q-learning and design strategies for action selection and to avoid cyclic path. Finally, experimental results show that our algorithm can find a safe and short path in the dynamic and dangerous environment, which can provide a specific and significant reference for practical management in disaster response applications.

关键词： Disaster response management path selection agent self-organizing Markov decision process Q-learning.

Sevoflurane preconditioning and postconditioning attenuate apoptosis induced by ischemia-reperfusion in rat lung

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中国现代医学杂志 2011年第6期21卷 718-726页

作者： Qing Li su-pin Zhang Timo Rinne Yong-hao Yu Guo-lin Wang Department of Anesthesiology General Hospital of Tianjin Medical University Tianjin 300052 P.R. China Departments of Anesthesiology and Intensive Care Heart Center of Tampere University Hospital Tampere 33521 Finland

Objective To investigate the effect of sevoflurane preconditioning and postconditioning on lung ischemia-reperfusion(IR) injury and apoptosis in *** Wistar rats were randomly assigned to four groups:sham group(n =6):no ischaemia-reperfusion;IR group(n =6):left lung ischemia was achieved by clamping the hilum for 90 min,followed by 120 min reperfusion;sev+pre group(n =6):1 minimum alveolar concentration(MAC) sevoflurane was admi-nistered for 30 min prior to ischemia;sev+post group(n =6):ischemia was followed by 1 MAC sevoflurane postconditioning at the first 30 min ***2 was measured after *** number of apoptotic cells was estimated using the terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick-end labeling(TUNEL) *** After ischemia-reperfusion,a significant deterioration of PaO2 was noticed and the number of apoptotic cells remarkably increased compared with that of sham *** sev+pre group and sev+post group,PaO2 was(85.7±14.4) mmHg and(88.6±12.5) mmHg respectively,which was apparently increased compared with that in IR group [(63.9±11.3) mmHg,P <0.05].The number of apoptotic cells in sev+pre group [(6.94 ± 1.49)%] and sev+post group [(7.69 ± 1.61)%] was significantly lower than that in IR group [(12.12 ± 2.77)%,P <0.05].But all parameters showed no significant difference between sev+pre group and sev+post *** Both sevoflurane preconditioning and postconditioning could prevent lung ischemia-reperfusion injury and attenuate apoptosis in rat.

关键词： ischemia-reperfusion induced injury apoptosis sevoflurane preconditioning postconditioning

A Distributed Algorithm for Parallel Multi-task Allocation Based on Profit Sharing Learning

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自动化学报 2011年第7期37卷 865-872页

作者： su Zhao-pin JIANG Jian-Guo LIANG Chang-Yong ZHANG Guo-Fu School of Computer and Information Hefei University of Tech- nology Hefei 230009 P. R. China Postdoctoral Research Station for Management Science and Engineering School of Management Hefei University of Technology Hefei 230009 P.R. China In- formation and Communication Engineering Postdoctoral Research Station Hefei University of Technology Hefei 230009 P. R. China

经由联盟形成的任务分配是在多代理人系统(妈) 的几应用程序域的基本研究挑战，例如资源分配，灾难反应管理等等。怎么以一种分布式的方式分配许多未解决的任务到一些代理人，主要处理。在这篇论文，我们在自我组织、自我学习的代理人... 详细信息

经由联盟形成的任务分配是在多代理人系统(妈) 的几应用程序域的基本研究挑战，例如资源分配，灾难反应管理等等。怎么以一种分布式的方式分配许多未解决的任务到一些代理人，主要处理。在这篇论文，我们在自我组织、自我学习的代理人之中建议一个分布式的平行多工分配算法。处理状况，我们在二维的房间地理上驱散代理人和任务，然后介绍为寻找它的任务由的一个单个代理人的分享学习的利润(PSL ) 不断自我学习。我们也在代理人之中为通讯和协商介绍策略分配真实工作量到每个 tasked 代理人。最后，评估建议算法的有效性，我们把它与 Shehory 和 Krau 被许多研究人员在最近的年里讨论的分布式的任务分配算法作比较。试验性的结果证明建议算法罐头快速为每项任务形成一个解决的联盟。而且，建议算法罐头明确地告诉我们每个 tasked 代理人的真实工作量，并且能因此为实际控制任务提供一本特定、重要的参考书。

关键词：自动化系统自动化技术 ICA 数据处理

Multi-task Coalition Parallel Formation Strategy Based on Reinforcement Learning

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自动化学报 2008年第3期34卷 349-352页

作者： JIANG Jian-Guo su Zhao-pin QI Mei-Bin ZHANG Guo-Fu Department of Computer and Information Science Hefei University of TechnologyHefei 230009P.R.China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of EducationHefei 230009P.R.China

代理人联盟是代理人协作和合作的一种重要方式。形成一个联盟，代理人能提高他们的能力解决问题并且获得更多的实用程序。在这份报纸，新奇多工联盟平行形成策略被介绍，并且多工联盟形成的过程是一个 Markov 决定过程的结论理论上被证... 详细信息

代理人联盟是代理人协作和合作的一种重要方式。形成一个联盟，代理人能提高他们的能力解决问题并且获得更多的实用程序。在这份报纸，新奇多工联盟平行形成策略被介绍，并且多工联盟形成的过程是一个 Markov 决定过程的结论理论上被证明。而且，学习的加强被用来解决多工联盟平行的代理人行为策略，和这个过程形成被描述。在多工面向的领域，策略罐头有效地并且平行形式多工联盟。

关键词：强化学习多任务合并平行排列马尔可夫决策过程

The fibroblast growth factor receptor pathway in hepatocellular carcinoma

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Hepatoma Research 2018年第9期4卷 19-29页

作者： Joycelyn Jie Xin Lee su pin Choo Division of Medical Oncology National Cancer Centre Singapore11 Hospital DriveSingapore 169610Singapore

Hepatocellular carcinoma is the third most common cause of cancer-related death globally and portends a poor prognosis. The fibroblast growth factor receptor (FGFR) pathway is increasingly acknowledged to play a role in the pathogenesis of hepatocellular carcinoma (HCC) and is postulated to be upregulated as a mechanism of resistance to anti-VEGF treatment. We attempt to review the importance of the FGFR pathway in HCC oncogenesis, as well as the current clinical evidence on the efficacy and safety of FGFR pathway inhibitors in HCC.

关键词： Hepatocellular carcinoma targeted therapy fibroblast growth factor