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Analyses on schedule-cost coefficient correlation of spaceflight project based on historical statistics and its application

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Journal of Systems Engineering and Electronics 2006年第4期17卷 769-774页

作者： Liu Yanqiong chen yingwu Information System and Management School National Univ. of Defense and Technology Changsha 410073 P.R.China

When analyze the uncertainty of the cost and the schedule of the spaceflight project, it is needed to know the value of the schedule-cost correlation coefficient. This paper deduces the schedule distribution, considering the effect of the cost, and proposes the estimation formula of the correlation coefficient between the in（schedule） and the cost. On the basis of the fact and Taylor expansion, the relation expression between the schedule-cost correlation coefficient and the in-schedule-cost correlation coefficient is put forward. By analyzing the value features of the estimation formula of the in-schedule-cost correlation coefficient, the general rules are proposed to ascertain the value of the schedule-cost correlation coefficient. An example is given to demonstrate how to approximately amend the schedule-cost correlation coefficient based on the historical statistics, which reveals the traditional assigned value is inaccurate. The universality of this estimation method is analyzed.

关键词： cost schedule correlation coefficient spaceflight project management risk.

Complex task planning method of space-aeronautics cooperative observation based on multi-layer interaction

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Journal of Systems Engineering and Electronics 2023年第6期34卷 1550-1564页

作者： LIU Jinming chen Yingguo WANG Rui chen yingwu College of Systems Engineering National University of Defense TechnologyChangsha 410073China

With the new development trend of multi-resource coordinated Earth observation and the new goal of Earth observation application of“short response time,high observation accuracy,and wide coverage”,space-aeronautics cooperative complex task planning problem has become an urgent problem to be *** focus of this problem is to use multiple resources to perform collaborative observations on complex *** analyzing the process from task assignment to receiving task observation results,we propose a multi-layer interactive task planning framework which is composed of a preprocessing method for complex tasks,a task allocation layer,a task planning layer,and a task coordination *** to the characteristics of the framework,a hybrid genetic parallel tabu(HGPT)algorithm is proposed on this *** algorithm uses genetic annealing algorithm(GAA),parallel tabu(PT)algorithm,and heuristic rules to achieve task allocation,task planning,and task *** the same time,coding improvements,operator design,annealing operations,and parallel calculations are added to the *** order to verify the effectiveness of the algorithm,simulation experiments under complex task scenarios of different scales are carried *** results show that this method can effectively solve the problems of observing complex ***,the optimization effect and convergence speed of the HGPT is better than that of the related algorithms.

关键词： complex task space-aeronautics cooperative task planning framework hybrid genetic parallel tabu(HGPT)algorithm.

Decision Model of Knowledge Transfer in Big Data Environment

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China Communications 2016年第7期13卷 100-107页

作者： Chuanrong Wu yingwu chen Feng Li Changsha University of Science&Technology ChangshaChina National University of Defense Technology ChangshaChina

A decision model of knowledge transfer is presented on the basis of the characteristics of knowledge transfer in a big data *** model can determine the weight of knowledge transferred from another enterprise or from a big data *** simulation experiments are implemented to test the efficiency of the optimization *** experiment results show that when increasing the weight of knowledge from big data knowledge provider,the total discount expectation of profits will increase,and the transfer cost will be *** calculated results are in accordance with the actual economic *** optimization model can provide useful decision support for enterprises in a big data environment.

关键词： big data knowledge transfer optimization simulation dynamic network

Optimization of earth observation satellite system based on parallel systems and computational experiments

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控制理论与应用（英文版） 2013年第2期11卷 200-206页

作者： Xiaolu LIU Yingguo chen yingwu chen Renjie HE School of Information System and Management National University of Defense Technology

Earth observation satellite system （EOSS） is the main space platform to collect ground information. Op- timization of EOSS is still a difficult problem, as it is a complex system concerning a great deal of design variables and uncertain factors. To solve the problem, an optimization framework based on parallel system and computational experi- ments is proposed. An artificial system for EOSS is firstly constructed, which is the integration of resource data, task data, environment data and related operation rules. Real EOSS together with artificial EOSS constitute the parallel systems for EOSS. Based on the parallel systems, concept of computational experiments is detailed. Moreover, surrogate models are built to approximate real EOSS. Genetic algorithm and improved general pattern search method are adopted to optimize the model. According to the framework, a case study is carried out. Through the results, we illustrated the proposed framework to be useful and effective for EOSS optimization problem.

关键词： Optimization design Parallel systems Computational experiments Earth observation satellite system

Granular analyzing of weapon SoS demand description

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Journal of Systems Engineering and Electronics 2009年第3期20卷 565-570页

作者： Zhao Qingsong Yang Kewei chen yingwu Li Mengjun School of Information System and Management National Univ. of Defense Technology Changsha 410073 P. R. China

The systematism of weapon combat is the typical characteristic of a modern battlefield. The process of combat is complex and the demand description of weapon system of systems （SOS） is difficult. Granular analyzing is an important method for solving the complex problem in the world. Granular thinking is introduced into the demand description of weapon SoS. Granular computing and granular combination based on a relation of compatibility is proposed. Based on the level of degree and degree of detail, the granular resolution of weapon SoS is defined and an example is illustrated at the end.

关键词： weapon SoS demand description granular analyzing granular resolution.

Survey of the research on dynamic weapon-target assignment problem

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Journal of Systems Engineering and Electronics 2006年第3期17卷 559-565页

作者： Cai Huaiping Liu Jingxu chen yingwu Wang Hao School of Information System & Management National Univ. of Defense TechnologyChangsha 410073 P. R. China

The basic concepts and models of weapon-target assignment （WTA） are introduced and the mathematical nature of the WTA models is also analyzed. A systematic survey of research on WTA problem is provided. The present research on WTA is focused on models and algorithms. In the research on models of WTA, the static WTA models are mainly studied and the dynamic WTA models are not fully studied in deed. In the research on algorithms of WTA, the intelligent algorithms are often used to solve the WTA problem. The small scale of static WTA problems has been solved very well, however, the large scale of dynamic WTA problems has not been solved effectively so far. Finally, the characteristics of dynamic WTA are analyzed and directions for the future research on dynamic WTA are discussed.

关键词： military operational research dynamic weapon-target assignment survey firepower assignment decision making combination optimization.

Optimal Model of Continuous Knowledge Transfer in the Big Data Environment

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Computer Modeling in Engineering & Sciences 2018年第7期116卷 89-107页

作者： Chuanrong Wu Evgeniya Zapevalova yingwu chen Deming Zeng FrancisLiu School of Economy and Management Changsha University of Science&TechnologyChangsha410114P.R.China College of Information System and Management National University of Defense TechnologyChangsha410073China School of Business Administration Hunan UniversityChangsha410082China LMBA Universite de Bretagne-SUD56017 VannesFrance

With market competition becoming fiercer,enterprises must update their products by constantly assimilating new big data knowledge and private knowledge to maintain their market shares at different time points in the big data ***,there is mutual influence between each knowledge transfer if the time interval is not too *** is necessary to study the problem of continuous knowledge transfer in the big data *** on research on one-time knowledge transfer,a model of continuous knowledge transfer is presented,which can consider the interaction between knowledge transfer and determine the optimal knowledge transfer time at different time points in the big data *** experiments were performed by adjusting several *** experimental results verified the model’s validity and facilitated conclusions regarding their practical application *** experimental results can provide more effective decisions for enterprises that must carry out continuous knowledge transfer in the big data environment.

关键词： Big data knowledge transfer optimization model simulation experiment different time points

Time Optimization of Multiple Knowledge Transfers in the Big Data Environment

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Computers, Materials & Continua 2018年第3期54卷 269-285页

作者： Chuanrong Wu Evgeniya Zapevalova yingwu chen Feng Li School of Economy and Management Changsha University of Science&TechnologyChangsha410114P.R.China College of Information System and Management National University of Defense TechnologyChangsha410073China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China

In the big data environment, enterprises must constantly assimilate big dataknowledge and private knowledge by multiple knowledge transfers to maintain theircompetitive advantage. The optimal time of knowledge transfer is one of the mostimportant aspects to improve knowledge transfer efficiency. Based on the analysis of thecomplex characteristics of knowledge transfer in the big data environment, multipleknowledge transfers can be divided into two categories. One is the simultaneous transferof various types of knowledge, and the other one is multiple knowledge transfers atdifferent time points. Taking into consideration the influential factors, such as theknowledge type, knowledge structure, knowledge absorptive capacity, knowledge updaterate, discount rate, market share, profit contributions of each type of knowledge, transfercosts, product life cycle and so on, time optimization models of multiple knowledgetransfers in the big data environment are presented by maximizing the total discountedexpected profits (DEPs) of an enterprise. Some simulation experiments have beenperformed to verify the validity of the models, and the models can help enterprisesdetermine the optimal time of multiple knowledge transfer in the big data environment.

关键词： Big data knowledge transfer time optimization DEP simulation experiment

A Fast Insertion Tabu Search with Conflict-Avoidance Heuristic for the Multisatellite Multimode Crosslink Scheduling Problem

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Tsinghua Science and Technology 2024年第3期29卷 843-862页

作者： Weiyi Yang Lei He Xiaolu Liu Weican Meng yingwu chen College of Systems Engineering National University of Defense TechnologyChangsha 410000China Beijing Institude of Tranking and Telecommunication Technology Beijing 100000China

An agile earth-observing satellite equipped with multimode cameras capable of transmitting observation data to other satellites is developed to rapidly respond to requests with multiple observation *** gives rise to the Multisatellite Multimode Crosslink Scheduling(MMCS)problem,which involves allocating observation requests to agile satellites,selecting appropriate timing and observation modes for the requests,and transmitting the data to the ground station via the satellite communication ***,a mixed integer programming model is introduced to include all complex time and operation *** solve the MMCS problem,a two-stage heuristic method,called Fast insertion Tabu Search with Conflict-avoidance(FTS-C)heuristic,is *** the first stage,a conflict-avoidance insertion algorithm is designed to generate a high-quality initial solution by considering the requests transmission and ***,the tabu search-based second stage optimizes the initial ***,an extensive empirical study based on a real-world situation demonstrates that FTS-C can generate a solution with higher quality in less time than other state-of-the-art algorithms and the CPLEX solver.

关键词： earth observation satellites scheduling tabu search heuristic data transmission and download mixedinteger programming model