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

Abstract

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.

A two-stage UAV routing problem with time window considering rescheduling with random delivery reliability

“…For example, the optimal strategy can be obtained to minimize the cost to meet a requirement of reliability, or to maximize the reliability under a constraint of cost. In details, the high reliability is indicated by the low probability of UAVs destruction and few unvisited targets according to the system reliability definition in many complex processes or missions [21][22][23][24][25][26][27][28][29]. The reliability is defined by two metrics: the probability of UAVs being destroyed and the number of unvisited targets; and both of them are negatively related with reliability.…”

“…In order to test the validity of the model in this paper, the result is used to compare with the result of Peng [16]. Peng's study [16] allows UAVs to abort the task when it has been attacked by a certain (22) (23) (24) number of shocks after visiting some targets. In the case of Peng (case 1), all the targets are visited by one of the UAVs in the schedule and 5 UAVs are used in total.…”

Reliability Evaluation of Multi-State Systems With Common Bus Performance Sharing Considering Performance Excess

“…The stochastic performance of the first unit is g 1 = {4, 6, 0}, p 1 = {0.6, 0.2, 0.2}; and the stochastic performance of the second unit is g 2 = {2, 0}, p 2 = {0.9, 0.1}. The stochastic demand of the first unit is wv 1 = { [4,5] , [2, 3]}, q 1 = {0.3, 0.7}, while the stochastic demand for the second unit is wv 2 = {[2, 3] , [0, 1]}, q 2 = {0.4, 0.6}. The heating transmission capacity is c = {4, 1, 0} , β = {0.8, 0.1, 0.1}.…”

“…UGF operator corresponding to the capacity for the performance sharing system is η (z) = 0.8z 4 + 0.1z 1 + 0.1z 0 .…”

“…A system is usually composed of some components with different functions [1]- [3]. Under certain environmental conditions, these components work with different functional intensity to accomplish the expected tasks of the system [4]- [6]. This functional intensity is called system performance [7], [8].…”