MOQPSO‐D/S for Air and Missile Defense WTA Problem under Uncertainty

Abstract

Aiming at the shortcomings of single objective optimization for solving weapon target assignment (WTA) and the existing multiobjective optimization based WTA method having problems being applied in air and missile defense combat under uncertainty, a fuzzy multiobjective programming based WTA method was proposed to enhance the adaptability of WTA decision to the changes of battlefield situation. Firstly, a multiobjective quantum-behaved particle swarm optimization with double/single-well (MOQPSO-D/S) algorithm was proposed by adopting the double/single-well based position update method, the hybrid random mutation method, and the two-stage based guider particles selection method. Secondly, a fuzzy multiobjective programming WTA model was constructed with consideration of air and missile defense combat's characteristics. And, the uncertain WTA model was equivalently clarified based on the necessity degree principle of uncertainty theory. Thirdly, with particles encoding and illegal particles adjusting, the MOQPSO-D/S algorithm was adopted to solve the fuzzy multiobjective programming based WTA model. Finally, example simulation was conducted, and the result shows that the WTA model constructed is rational and MOQPSO-D/S algorithm is efficient.

Decentralized Algorithms for Weapon-Target Assignment in Swarming Combat System

“…where T k denotes the set of the candidate targets. e price p j is an auxiliary variable and is used to resolve the WTA problem to satisfy the constraint (3). When the algorithm terminates, the quality of assignment solution does not depend on p j , i.e., the output assignment solution is almost optimal in terms of payoff u ij instead of the revenue v i j � u ij − p j [24].…”

“…WTA plays an increasing role given the growing requirement for the collaborative engagement of several weapons relative to several targets in modern battlefields [1]. Various extant studies focused on solutions for WTA that are mainly applied in the traditional high-value weapon platforms such as air defense WTA [2][3][4] or ship target strikes [5,6]. Compared to expensive equipment, swarming UAVs or UGVs attract the attention of military powers worldwide because of advantages including strong autonomy, low cost, high flexibility, and fast upgrades [7].…”

Bi-Level Fuzzy Expectation-Based Dynamic Anti-Missile Weapon Target Allocation in Rolling Horizons

“…In addition, it is necessary to consider the uncertainties of a battlefield and the impact of synergistic effectiveness between different weapons in anti-missile fire synergy. The commonly used approaches for the quantitative analysis of uncertainties in the anti-missile weapon target problem include the interval gray number [13], fuzzy multiobjective-planning model [14], variable fuzzy clustering preference theory system [15], game model [16], robust model [17], and CvaR conditional value-at-risk model [18]. In addition, fuzzy systems are an effective way to deal with uncertainties [19].…”

Target Assignment Algorithm for Joint Air Defense Operation Based on Spatial Crowdsourcing Mode

“…The defense side launches different interceptors according to different defense layers and considers the time window when assigning interceptors [12]. Xu studied the multi-target WTA problem under uncertain conditions based on the static perspective, to obtain the maximum interception efficiency and minimum interception loss [13]. Li studied the WTA problem of static multitarget ground air defense to maximize the protection of assets while minimizing interceptor consumption [14].…”