Weapon–Target Assignment Algorithm for Simultaneous and Sequenced Arrival

Volle, Kyle; Rogers, Jonathan

doi:10.2514/1.g003515

Cited by 16 publications

(3 citation statements)

References 14 publications

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“…With the diversification of combat forms and the expansion of combat scale, the WTA problem has been further studied to solve the original 2 of 24 problem from more different perspectives, mainly including static weapon target allocation (SWTA) and dynamic weapon target allocation (DWTA). Classical SWTA models include (1) asset-based SWTA [2]; (2) sensor-based SWTA [3]; (3) effects-based SWTA [4]; (4) constraint-based SWTA [5]; (5) multitarget SWTA [6]; and (6) constrained multitarget SWTA [7]. Since SWTA performs poorly in adapting to the needs of an ever-changing battlefield, DWTA was subsequently proposed.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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The weapon target allocation (WTA) problem is a crucial issue in anti-missile command decisions. However, the current anti-missile weapon target allocation models ignore the dynamic complexity, cooperation, and uncertainty in the actual combat process, which results in the misclassification and omission of targets. Therefore, we propose a bi-level dynamic anti-missile weapon target allocation model based on rolling horizon optimization and marginal benefit reprogramming to achieve rapid impact on static and dynamic uncertainties in the battlefield environment. Further, we also propose an improved bi-level recursive BBO algorithm based on hybrid migration and variation to perform fast and efficient optimization of the model objective function. A simulation analysis demonstrate that the model is suitable for larger-scale, complex, dynamic anti-missile operations in uncertain environments, while the algorithm achievesbetter solution efficiency and solution time compared with the same type of heuristic algorithm, which meet the requirements of solution accuracy and timeliness. In addition, we obtain better rolling horizon parameters to further optimize its performance.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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“…With the independent development of SRM [3]- [5] and WTA [6]- [9], the organic integration of these two problems is crucial for defense operation. However, the integrated SRM and WTA has not a uniform formulation.…”

Section: Introductionmentioning

confidence: 99%

A Novel Heterogeneous Sensor-Weapon-Target Cooperative Assignment for Ground-to-Air Defense by Efficient Evolutionary Approaches

et al. 2020

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“…In [15], Li, You, et al added the residual weapons into previous work [14] to establish an MWTA formulation with three objectives. Volle and Rogers [16] presented the MWTA problem optimizing the operational effectiveness and the relative timing of agents' arrival.…”

Section: Introductionmentioning

confidence: 99%

Constrained Multi-Objective Weapon Target Assignment for Area Targets by Efficient Evolutionary Algorithm

et al. 2019

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The weapon target assignment (WTA) problem is the crucial decision support in Command & Control (C2). In the classic WTA model, the point-to-point saturation salvo has a low efficiency-cost ratio when the swarming targets, which have the advantage of low casualty, low cost and recyclable, become the major operational units. The constraint is less studied for the operational intention of the decision-maker. In this paper, a constrained multi-objective weapon target assignment (CMWTA) model is formulated for area targets. The optimization objectives are minimizing collateral damage and resource consumption. The multi-constraint is derived from the actual operational requirements of security evasion, damage threshold, and preference assignment. To solve CMWTA efficiently, a novel multi-objective optimization evolutionary algorithm (MOEA) is proposed to obtain the non-dominated solutions as the alternative plans for the decision-maker. A self-adaptive sorting algorithm is proposed to guarantee the completeness of the Paretooptimal set, and a cooperative evolutionary mechanism is adopted to strengthen the convergence. For handling multi-constraint, a repair mechanism is proposed to improve the quality of infeasible solutions, and the measurement of constraint violation is designed to evaluate the infeasible solutions. A variant of the convergence metric is introduced to evaluate the algorithms solving multi-objective weapon target assignment (MWTA) problem. The experimental results show the effectiveness and superiority of the proposed approaches.INDEX TERMS Constrained weapon target assignment, collateral damage, multi-objective optimization algorithm, decision support system.

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Weapon–Target Assignment Algorithm for Simultaneous and Sequenced Arrival

Cited by 16 publications

References 14 publications

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

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

A Novel Heterogeneous Sensor-Weapon-Target Cooperative Assignment for Ground-to-Air Defense by Efficient Evolutionary Approaches

Constrained Multi-Objective Weapon Target Assignment for Area Targets by Efficient Evolutionary Algorithm

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