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IEEE Transactions on Artificial Intelligence 2024年第8期5卷 4293-4307页

作者： Sun, Tao Li, Jian-Sheng Zhang, Yi-Fan Ru, Xin-Feng Wang, Ke Tsinghua University Department of Automation Beijing100084 China Dalian University of Technology School of Control Science and Engineering Dalian116024 China Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Tongji University School of Economics and Management Shanghai200092 China

Path planning and seeking is one of the most challenging and interesting problems in the field of artificial intelligence. In this article, we propose a new image-based path planning algorithm to overcome traditional design concepts based on complex topological networks. Specifically, a novel feedback generative adversarial network learning model with channel-space attention (CSA-FGAN) is developed to search and plan an optimal path. It is worth noting that the input and output of the proposed feedback learning model are RGB images with complex spatial obstacle environment maps and RGB images with feasible paths, respectively. In particular, in order to further enhance the feature extraction ability and path prediction accuracy of image data, the feedback attention mechanism controls and improves the depth of the network by forming a closed loop of the proposed learning model. Final, three application scenario image examples are conducted to verify the superiority of the proposed path planning policy. © 2020 IEEE.

关键词： Motion planning

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Optimal Operation Of Battery Energy Storage System In Industrial Park

Optimal Operation Of Battery Energy Storage System In Indust...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Kaile Zhou Zenghui Zhang Xinhui Lu Key Laboratory of Process Optimization and Intelligent Decision-making Schoolof Management Hefei University of Technology Hefei China

ISBN: (纸本)9781665434263

An industrial park containing distributed generations (DGs) can be seen as a microgrid. Due to the uncertainty and intermittency of the output of DGs, it is necessary to add battery energy storage system (BESS) in industrial parks. The battery state of health (SOH) is an important indicator of battery life. It is necessary to fully consider the battery SOH during the energy optimization of industrial parks. In this work, a two-stage model suitable for charge and discharge optimization of BESSs in industrial park microgrids is proposed. The first stage of the model is a charge and discharge scheduling of a BESS considering the SOH. This stage mainly schedules the charge and discharge time and the total amount of time. The second stage of the model is employed to further determine the charge and discharge allocation of all battery packs to achieve BESS life prolongation. The experimental results show that the introduction of SOH makes the scheduling results more realistic. Also, it balances the changes in the SOHs of all battery packs.

关键词： Schedules Job shop scheduling Uncertainty Rain Microgrids System integration Discharges (electric)

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Independent innovation capability evaluation and analysis on Wanjiang city-zone

Independent innovation capability evaluation and analysis on...

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2011 International Conference on Computer Science and Service System, CSSS 2011

作者： Zhang, Dengzhou Gao, Yuanyuan Peng, Zhanglin School of Management Hefei University of Technology Hefei China Finance Department of China Electronics Technology Group Corporation Beijing China Institute of Computer Network System Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

ISBN: (纸本)9781424497638

As the capacity of independent innovation is a vital measure standard for the success of a city's construction, the goal of this paper is to analyze and comment it. In order to make the research result more objective and precise, a system of evaluating indicator which includes the ability of innovation input, management, guarantee and output has been established. Moreover, by using the method of Principal Component Analysis, the capacity for independent innovation of nine cities in the Wanjiang city-region is clearly realized. Finally, hoping that this paper would be helpful to the construction of Wanjiang city-region for industrial transfer and provide a policy basis for the macroscopic readjustment and control as well as management. © 2011 IEEE.

关键词： Principal component analysis

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Strategic project selection based on evidential reasoning approach for high-end equipment manufacturing industry 3

Strategic project selection based on evidential reasoning ap...

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3rd International Conference on Mechanical, Electronic and Information Technology Engineering, ICMITE 2017

作者： Lu, Guangyan Xue, Min Liu, Yin Chang, Wenjun Department of Operation Management CRRC Qishuyan Institute Co. Ltd Changzhou Jiangsu213011 China School of Management Hefei University of Technology Hefei Box 270 Hefei Anhui230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei Box 270 Hefei Anhui230009 China

With the rapid development of science and technology, emerging information technologies have significantly changed the daily life of people. In such context, strategic project selection for high-end equipment manufacturing industries faces more and more complexities and uncertainties with the consideration of several complex criteria. For example, a group of experts rather than a single expert should be invited to select strategic project for high-end equipment manufacturing industries and the experts may feel difficulty to express their preferences towards different strategic projects due to their limited cognitive capabilities. In order to handle these complexities and uncertainties, the criteria framework of strategic project selection is firstly constructed based on the characteristics of high-end equipment manufacturing industries and then evidential reasoning (ER) approach is introduced in this paper to help experts express their uncertain preferences and aggregate these preferences to generate an appropriate strategic project. A real case of strategic project selection in a high-speed train manufacturing enterprise is investigated to demonstrate the validity of the ER approach in solving strategic project selection problem. © The Authors, published by EDP Sciences, 2017.

关键词： Decision making

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A Novel PSO for Multi-stage Portfolio Planning

A Novel PSO for Multi-stage Portfolio Planning

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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Zhangjun Wu Zhiwei Ni Chang Zhang Lichuan Gu Institute of Intelligent Management Hefei University of Technology China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education China

In this paper, we present a decision-making process that uses our proposed quasi-oppositional comprehensive learning particle swarm optimizers (QCLPSO) to solve multi-period portfolio problem. Multi-stage stochastic financial optimization takes order with portfolio in ever-changing financial markets by periodically rebalancing the asset portfolio to achieve return maximization and/or risk minimization. It brings together all major financial-related decision in a single consistent structure and integrates investment strategies, liability decisions and savings strategies in an all-around fashion. The objective function is classical return-variance function. The performance of our algorithm is demonstrated by optimizing the allocation of cash and various stocks in SSE 180 Index. Experiments are conducted to compare performance of the portfolio optimized by different objective functions with PSO and genetic algorithm (GA) in the terms of efficient frontiers.

关键词： Portfolios Stochastic processes Quantum cascade lasers Investments Asset management Risk management Decision making Uncertainty Mathematical model Computational and artificial intelligence

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Mining organizational structure from workflow logs

Mining organizational structure from workflow logs

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International Conference on e-Education, Entertainment and e-management (ICEEE)

作者： Zhiwei Ni Sha Wang Huaiying Li School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

ISBN: (纸本)9781457713811

Workflow mining is a concept in early era, it analyzes the workflow log in the control flow dimensions, to mining the actual process model, but ignores relationships among executors in workflow, hence it fails to effectively excavate the workflow log to find the implicit structure. In this paper, the organizational dimensions of workflow log will be the main focuses to be researched. The paper introduces executor similarity metrics and grid clustering to demonstrate the methods of the organizational structure mining based on executor similarity and organization mining based on grid clustering. Both of them are effective to extract the actual organizational structure from the workflow logs.

关键词： Artificial neural networks

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Heuristics for uniform parallel machine scheduling problem with minimizing makespan

Heuristics for uniform parallel machine scheduling problem w...

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IEEE International Conference on Automation and Logistics

作者： Kai Li Shu-chu Zhang School of Management Hefei University of Technology Hefei China Ministry of Education Key Laboratory of Process Optimization and Intelligent Decision-making Hefei China

ISBN: (纸本)9781424425020

This paper considers the problem of uniform parallel machine scheduling with unequal release dates so as to minimize makespan. This problem is proved to an NP-hard problem. Heuristics in existence for the problem are analyzed, and then we present an improved algorithm. The performance of the algorithms by experiment is also analyzed. The heuristic is further extended by applying the method of variable neighborhood search, which is used for improving the quality of the solutions obtained by the original heuristics.

关键词： Schedules Heuristic algorithms Parallel machines Magnetic heads Algorithm design and analysis Approximation algorithms Scheduling

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Software project management based on dynamic programming algorithm

Software project management based on dynamic programming alg...

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International Conference on Information Sciences,Machinery,Materials and Energy（ICISMME 2015）

作者： Zhidong Li Xiaohuan Yu School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Nanjing University of Posts and Telecommunications

With the rapid development of computer technology,software engineering disciplines has developed rapidly not only in the aspect of theory,but is increasingly important in the practical application,and gradually formed methodologies,tools and management of three *** these three factors,the study of software project management is relatively backward,and even become a major obstacle in the development of software engineering ***,in view of software engineering discipline facing the problem,this paper proposed dynamic programming algorithm should be applied to software engineering management.

关键词： computer technology software engineering management dynamic programming

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Extension CBR Retrieval

Extension CBR Retrieval

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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Zhiwei Ni Dan Han Gongrang Zhang Yazhuo Gao School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

When the case information is described in natural language and not complete, to deal with problems of case retrieval in Case-Based Reasoning (CBR), Extension theory is introduced to aid it. Firstly, the case index is created based on the Extension model. Secondly, the main characteristics of the case are formalized to store in the case base to realize the data compression. Finally, case retrieval algorithm is designed. The basic and the advanced retrieve strategy supplement each other. This algorithm lowers the request of the professional level and improves the efficiency of retrieval. The approach is of practical significance in problem solving, such as auto fault diagnosis.

关键词： Information retrieval Artificial intelligence Problem-solving Fault diagnosis Competitive intelligence Data compression Algorithm design and analysis intelligent systems Mathematics Computational intelligence

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Research on Whole-Link Risk Situational Awareness Index System and Dynamic Risk Pool Supervision 11

Research on Whole-Link Risk Situational Awareness Index Syst...

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11th International Conference on Networks, Communication and Computing, ICNCC 2022

作者： Sun, Jingchun Deng, Fei Du, Boya School of Management Xi'An Jiaotong University China Key Laboratory of the Ministry of Education for Process Control and Efficiency Engineering China College of Information Engineering Kunming University China Key Laboratory of Data Governance and Intelligent Decision Universities of Yunnan China

ISBN: (纸本)9781450398039

With the development of society, network security becomes more and more important. It is inevitable to establish the risk index system to effectively monitor the security of network. In the previous study, due to absence of risk indicators, the risk supervising system is not perfect. However, there are few researches on the whole-link risk index system, and the determination of risk indicators lacks basis. Therefore, this paper firstly constructs a new risk index system of situational awareness, which can avoid the omission of risk indicators. Then the sliding window is used to observe this system and the optimal window width is found to determine the dynamic risk pool. Finally, the indicators of dynamic risk pool are used to dynamically monitor the whole link risk index system. The whole technical framework not only proves advantages of the mature risk index system of situational awareness, but also overcomes the disadvantage that the risk index of the whole link cannot be determined, and the dynamic risk pool has the sharing characteristics in the whole process. © 2022 ACM.

关键词： Network security

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