Object defence of a single object with preventive strike of random effect

Gao, Kaiye; Yan, Xing; Liu, Xiangdong; Peng, Rui

doi:10.1016/j.ress.2019.02.023

Cited by 22 publications

(15 citation statements)

References 35 publications

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“…Although there are only few operational studies related missile interception strategy, considerable research efforts have been expended in the field of defence strategies, [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] and some of them may be applied to the missile interception. [27][28][29][30][31] Shinar et al 27 presented a methodology to assess the probability of successful interception as a function of the parameters of the scenario.…”

Section: Introductionmentioning

confidence: 99%

Optimal interception strategy of air defence missile system considering multiple targets and phases

Gao

Xiao

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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Due to the rapid development and wide application of air attack weapons, air defence missiles against them are increasingly important and have become the main air defence weapons in modern war. However, interception strategy of air defence missile system is ignored in previous studies. Thus, using the combinatorial optimization, this paper proposes a methodology to optimize the strategy of ADMS in a missile-target interception process in order to minimize the expected costs for defender. According to the practice, the considered process has multiple targets and multiple phases, and the expected costs are composed of the loss caused by targets and the cost for intercept missiles. Two numerical examples are presented to illustrate the proposed methodology. The results of the examples show that interception strategies have a great impact on the expected costs of ADMS during a missile-target interception process.

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Section: Introductionmentioning

confidence: 99%

Optimal interception strategy of air defence missile system considering multiple targets and phases

Gao

Xiao

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…In order to ensure high reliability, developers usually need to conduct testing before they launch the software on public market. Related studies of software testing and reliability have been on-going for thirty years and the increasing dependability of various fields on software creates a need to make the software field more accurate and reliable [9][10][11][12][13][14]. Besides, in order to track the growth of software reliability during testing and make some important decisions, such as the optimal software release time and the staffing level, numerous software reliability growth models (SRGMs) have been proposed during the past four decades.…”

Section: Introductionmentioning

confidence: 99%

Simulated Software Testing Process and Its Optimization Considering Heterogeneous Debuggers and Release Time

Gao

2021

IEEE Access

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Most traditional software reliability growth models (SRGMs) assume immediate fault correction upon detection and therefore only consider fault detection process (FDP). In order to be more realistic, some researchers have tried to incorporate fault correction process (FCP) and fault introduction process (FIP) into the software reliability models. However, it is still difficult to incorporate into the analytical software reliability models some other factors, such as the different fault detection and correction capabilities of debuggers. In this paper, a simulation approach is proposed to model FDP, FIP, and FCP together considering debuggers with different contributions to fault detection rate, different fault correction rate and different fault introduction rate. Besides, this paper also constructed a cost calculation method to optimize the testing design including debuggers assignment and software release time. Some numerical examples are provided to illustrate the proposed model. The results show that the trends of FDP, FCP and FIP are consistent with the intuition to the practice of software testing, and the optimal testing resources allocation and the optimal release time can be obtained according to the proposed model.

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“…Under this development trend, various engineering systems have gradually become huge and complex, showing the characteristics of multi-state and performance sharing, especially in power, communication, computer, intelligent transportation and other systems abound with high techniques [1][2][3][4][5][6]. As these systems play a vital role in the stable operation and development of society and economy, once the system fails, it may cause major economic losses and disastrous consequences that affect society [7][8][9]. Therefore, the research on the reliability of multi-state system with performance sharing has received extensive attention from scholars.…”

Section: Introductionmentioning

confidence: 99%

Multi-State System Reliability Evaluation and Component Allocation Optimization Under Multi-Level Performance Sharing

et al. 2021

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With the development of science and technology, the structure of engineering system has become increasingly large and complex. In order to ensure the safety and stability of the system in operation, the reliability evaluation of complex system has become an important research field. Based on the actual engineering system, this paper proposes a multi-state system with multi-level performance sharing mechanism. On this basis, we established a system reliability evaluation model using universal generating function technique. Through numerical examples, the application of the model and analyze the influence of different parameters on system reliability are demonstrated. In addition, we also use genetic algorithm to optimize the allocation of components in the system, so as to improve the reliability of the system. Different from the previous studies on system reliability with common bus performance sharing, the system proposed in this study is more general.

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Object defence of a single object with preventive strike of random effect

Cited by 22 publications

References 35 publications

Optimal interception strategy of air defence missile system considering multiple targets and phases

Optimal interception strategy of air defence missile system considering multiple targets and phases

Simulated Software Testing Process and Its Optimization Considering Heterogeneous Debuggers and Release Time

Multi-State System Reliability Evaluation and Component Allocation Optimization Under Multi-Level Performance Sharing

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