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Analyses of inverted generational distance for many-objective optimisation algorithms

INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2019年第1期14卷 62-68页

作者： Cai, Xingjuan Zhang, Maoqing Wang, Hui Xu, Meng Chen, Jinjun Zhang, Wensheng Taiyuan Univ Sci & Technol Complex Syst & Computat Intelligence Lab Taiyuan 030024 Shanxi Peoples R China Tongji Univ Dept Control Sci & Engn Shanghai 201804 Peoples R China Nanchang Inst Technol Sch Informat Engn Nanchang 330099 Jiangxi Peoples R China Beijing Univ Technol Informat Fac Beijing 100124 Peoples R China Swinburne Univ Technol Dept Comp Sci & Software Engn Melbourne Vic 3000 Australia Chinese Acad Sci State Key Lab Intelligent Control & Management Co Inst Automat Beijing 100190 Peoples R China

Inverted generational distance is a widely used indicator for evaluating many-objective optimisation algorithms. In the past several years, numerous researchers have paid much attention to the improvement of many-objective optimisation algorithms, while few researchers have mathematically analysed inverted generational distance. In this paper, we present detailed mathematical analyses of inverted generational distance, and then reveal the relation between generational distance and inverted generational distance. The conclusion is drawn that convergence plays different roles in different stages. Experimental results on seven many-objective benchmark problems verify our analyses.

关键词： inverted generational distance IGD generational distance many-objective optimisation algorithm mathematical analyses

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A control Strategy Combined Thermostat control with DC-Link Voltage control for Series Hybrid Electric Vehicles 21

A Control Strategy Combined Thermostat Control with DC-Link ...

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21st IEEE International Conference on intelligent Transportation systems (ITSC)

作者： Luo, Can Shen, Zhen Evangelou, Simos Xiong, Gang Wang, Xiao Lv, Yisheng Dong, Xisong Zhu, Fenghua Wang, Fei-Yue Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan Peoples R China Imperial Coll London Dept Elect & Elect Engn London England Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing Peoples R China

ISBN: (纸本)9781728103235

In this paper, we introduce the combination of thermostat control strategy (TCS) and DC-link voltage control strategy to improve fuel economy for series hybrid electric vehicles (HEVs). The main method is tuning essential parameters, including a parameter under DC-link voltage control and a selected constant as an important judgement condition of charging operation modes under TCS. The minimum mass points of equivalent fuel consumption (EFC) corresponding to a series of variables are marked for worldwide harmonized light vehicles test procedure (WLTP). By analysis and verification, the fuel economy of series HEVs with WLTP performs better with the combination control schemes than individual control scheme, so this scheme proves very effective for series HEVs driving in an urban environment.

关键词： series hybrid electric vehicles thermostat control Strategy DC-link voltage control tuning equivalent fuel consumption

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Optimal Share Reporting Strategies for Blockchain Miners in PPLNS Pools

Optimal Share Reporting Strategies for Blockchain Miners in ...

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IEEE International Conference on systems, Man, and Cybernetics (SMC)

作者： Qin, Rui Yuan, Yong Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao Peoples R China Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing Peoples R China Natl Univ Def Technol Res Ctr Mil Computat Expt & Parallel Syst Changsha Hunan Peoples R China

ISBN: (纸本)9781538666500

With the increasing difficulty of solo mining in blockchain mining, pool mining has become more and more popular, and most of the miners would like to join a mining pool and contribute their computational power to the pool. When the pool finds a valid block and get the reward from the blockchain network, it will distribute the reward to its miners according to its reward mechanism. In practice, the Pay-Per-Last-N-Shares (PPLNS) mechanism is one of the most commonly used mechanisms by pools, and the pool adopting PPLNS mechanism will distribute the reward to the miners whose reported shares are in the last N shares, according to their proportion of the number of shares in the last N shares. In the PPLNS mechanism, different reporting strategies may bring different rewards for miners. Thus, how to report their found shares to the pool has become an important issue faced by the miners. In this paper, we study the share reporting problem faced by the miners in PPLNS pools, and establish a share reporting optimization model for the miners. We also study the effect of the parameter N in the PPLNS mechanism on the optimal reporting strategies of the miners. With the computational experiments approach, we design experiments to evaluate our proposed share reporting strategies. This work is the first attempt to study the share reporting issue faced by miners in PPLNS pools, and it can provide useful managerial insights for miners when making their share reporting decisions in such pools.

关键词： share reporting strategy blockchain mining PPLNS reward pool mining computational experiments approach

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Research on Information Structure of Programmatic Advertising Markets

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IFAC-PapersOnLine 2017年第1期50卷 13587-13592页

作者： Li, Juanjuan Yuan, Yong Zhao, Xueliang Wang, Fei-Yue The State Key Laboratory of Management Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Beijing Qingdao China Research Center of Military Computational Experiments and Parallel Systems National University of Defense Technology Changsha China

With the abundance of online big data and computing resources, as well as the rapid develop-ment and diversification of business models, programmatic advertising (PA) has emerged and become the mainstream and one of the most promising advertising channels in recent years. As an effective way to precision marketing, PA relies heavily on the information elicited from analyzing Web users and pages, which can help advertisers precisely identify their best-matched audiences and evaluate the ad impressions in a real-time fashion In PA markets, publishers serve as the supplier of ad impressions, and have control on whether, what and how to reveal such key information to advertisers. These decisions play a central role in the information structure of data-driven PA markets, and attract intensive research interests. In this paper, we strive to investigate publishers’ rational preference over the symmetric and asymmetric information structures, with the aim of maximizing their revenues. Our model views publishers’ revenue as a function of the information structure among advertisers, and we hereby proved its convexity under an incentive compatible mechanism. This conclusion indicates that publishers prefer an asymmetric information structure rather than a symmetric one. Our research findings can help improve publishers’ revenue, and also can explain the underlying rationale for the hybrid PA markets mixed by public real-time bidding and private marketplaces. © 2017

关键词： Commerce Big data Marketing Advertising markets Asymmetric information Computing resource Incentive compatible mechanisms Information structures Precision marketings private marketplace Real time biddings

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An Analysis of Blockchain-based Bitcoin Mining Difficulty: Techniques and Principles

An Analysis of Blockchain-based Bitcoin Mining Difficulty: T...

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Chinese Automation Congress (CAC)

作者： Zhang, Xiaojing Qin, Rui Yuan, Yong Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao Peoples R China Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing Peoples R China Natl Univ Def Technol Res Ctr Mil Computat Expt & Parallel Syst Changsha Hunan Peoples R China

ISBN: (纸本)9781728113128

Bitcoin is a decentralized peer-to-peer electronic cash system, and it realizes the circulation and distribution of cryptocurrency via miners contributing their computational power to solve a cryptographic puzzle. With more and more people participating in Bitcoin mining, the continuous growing of the computational power might greatly reduce the time for finding a new valid block. To keep the stability of the Bitcoin system, the difficulty of the Bitcoin network will be adjusted every 2016 blocks. This paper aims to study the principles of the difficulty adjustment of the whole Bitcoin blockchain network in Bitcoin mining. We first describe the computing process of the target and thus the difficulty of a block, and then study its influence factors and their effect on the difficulty. After that, we study the adjustment of the difficulty, and propose a framework for the adjustment of the difficulty that can be easily used in practice. Our work can help researchers better understand the principles of Bitcoin mining.

关键词： Bitcoin mining blockchain network difficulty target adjustment of difficulty

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Parallel-Education-Blockchain Driven Smart Education : Challenges and Issues

Parallel-Education-Blockchain Driven Smart Education : Chall...

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Chinese Automation Congress (CAC)

作者： Gong, Xiaoyan Liu, Xiwei Jing, Sifeng Xiong, Gang Zhou, Jiehan Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Inst Smart Educ Syst Qingdao 266042 Peoples R China Chinese Acad Sci Dongguan Cloud Comp Ctr Dongguan Peoples R China Univ Oulu Ctr Ubiquitous Comp Oulu Finland

ISBN: (纸本)9781728113128

Recently education blockchain driven smart education has become focus of attention, and related system frameworks and key technologies are presented. However, problems of difficult to model, difficult to experiment, and difficult to optimize in education blockchain need to be further solved, and driving mechanisms, application scenarios and other issues need further analysis. This paper first introduces education blockchain, challenges and issues, then based on introduction of parallel intelligence theory and parallel blockchain, it proposes parallel education blockchain, and its driven mechanism, function distribution, data transfer, application scenarios and related issues are elab.rated;At last, several questions are raised for discussion.

关键词： Education Blockchain Parallel Education Blockchain Parallel intelligent Theory intelligent Education Driven mechanism

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How Reporting Policies Influence Employee Performance: An Empirical Study

How Reporting Policies Influence Employee Performance: An Em...

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IEEE International Conference on systems, Man, and Cybernetics (SMC)

作者： Li, Juanjuan Wang, Shuai Ni, Xiaochun Yuan, Yong Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Natl Univ Def Technol Res Ctr Mil Computat Expt & Parallel Syst Changsha Hunan Peoples R China

ISBN: (纸本)9781538666500

In recent years, social media platforms and instant messaging applications have been witnessed to play an increasingly important role as a communication channel among employees to build effective organizations, which results in a considerably large part of individual activities moving onto the cyber-based workspace. The online behaviors of employees rely heavily on the policies or mechanisms formulated for the cyber-space, and are expected to impose a significant influence on their performance appraisal in the physical world In this paper, we focus on the typical online reporting behavior, and empirically study how the work reporting policies formulated by supervisors influence the employees' strategies and in turn their performance, using a unique real-world dataset collected from the Chinese social media platform called WeChat. We consider two types of work reporting policies: the one is concerned with the reporting time and the other with the duplication degree of reporting contents. First, we establish an optimization model, taking both the reputation-based and performance-related utilities into consideration, so as to examine the employees' reporting strategies and their actual work performance. On this basis, we make further discussions about the reporting policy optimization from the perspective of organization supervisors. Then, an empirical study on a median-size organization in China is conducted to validate our proposed model and analysis. The results prove our conclusion that the reporting policy will influence not only employees' reporting strategies, but also their actual work performance.

关键词： employee performance reporting policy work reporting system reporting strategy social media platform

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The ParallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of intelligent Vehicles

The ParallelEye-CS Dataset: Constructing Artificial Scenes f...

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2018 IEEE intelligent Vehicles Symposium, IV 2018

作者： Li, Xuan Wang, Yutong Wang, Kunfeng Yan, Lan Wang, Fei-Yue School of Automation Beijing Institute of Technology Beijing100081 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Innovation Center for Parallel Vision Qingdao Academy of Intelligent Industries Qingdao266000 China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781538644522

Offline training and testing are playing an essential role in design and evaluation of intelligent vehicle vision algorithms. Nevertheless, long-term inconvenience concerning traditional image datasets is that manually collecting and annotating datasets from real scenes lack testing tasks and diverse environmental conditions. For that virtual datasets can make up for these regrets. In this paper, we propose to construct artificial scenes for evaluating the visual intelligence of intelligent vehicles and generate a new virtual dataset called 'ParallelEye-CS'. First of all, the actual track map data is used to build 3D scene model of Chinese Flagship intelligent Vehicle Proving Center Area, Changshu. Then, the computer graphics and virtual reality technologies are utilized to simulate the virtual testing tasks according to the Chinese intelligent Vehicles Future Challenge (IVFC) tasks. Furthermore, the Unity3D platform is used to generate accurate ground-truth lab.ls and change environmental conditions. As a result, we present a viable implementation method for constructing artificial scenes for traffic vision research. The experimental results show that our method is able to generate photorealistic virtual datasets with diverse testing tasks. © 2018 IEEE.

关键词： intelligent vehicle highway systems

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A Bibliographic and Coauthorship Analysis of IEEE T-ITS Literature Between 2014 and 2016

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IEEE TRANSACTIONS ON intelligent TRANSPORTATION systems 2018年第9期19卷 2751-2761页

作者： Zhao, Xueliang Wang, Tao Lu, Hao Sun, Xingkai Wang, Xiao Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Assoc Automat Beijing 100190 Peoples R China Natl Univ Def Technol Coll Informat Syst & Management Changsha 410073 Hunan Peoples R China Chinese Acad Sci Beijing 100190 Peoples R China Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266000 Peoples R China

We present a bibliographic and coauthorship-based collab.ration analysis of papers published in the IEEE TRANSACTIONS ON intelligent TRANSPORTATION systems (f-ITS) between 2014 and 2016 from the aspects of productivity, topics, citations, usage, and coauthorship networks. The most productive authors, institutions, countries/regions, and the most cited papers, most popular papers, as well as the most frequent topics and their trends are identified and analyzed. Social network methods are employed for revealing collab.ration patterns among contributors through author- and institution-level coauthorship. The results show that China is playing a critical role in ITS research during this period but the interinstitution collab.rations are less prevalent than it used to be. Overall data have indicated that IEEE TITS has made tremendous progress and contributed significantly to the accelerated growth of ITS fields over the last three years.

关键词： Bibliographic analysis coauthorship network intelligent transportation systems (ITS) social network analysis

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A review of engineering education in China: History, present and future

A review of engineering education in China: History, present...

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2017 ASEE International Forum

作者： Dong, Xisong Liu, Xiwei State Key Laboratory of Management and Control for Complex Systems Institution of Automation Chinese Academy of Sciences China Institute of Smart Education Systems Qingdao Academy of Intelligent Industries Canada

In this globalization and information era, the level of engineering technology represents a country's core competitiveness. With the rapid development of China's industrialization, the high requirement for engineering talents become increasingly urgent. Then, engineering education is facing a great challenge. The history, current situation and problems of engineering education in China are systematically summed up and analyzed in this paper. The challenges and opportunities have also been deeply studied, which constitute the theoretical basis of the sustainable development of engineering education in China. © 2017 American Society for Engineering Education.

关键词： Engineering education

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