Air defense missile-target allocation models for a naval task group

Karasakal, Orhan

doi:10.1016/j.cor.2006.09.011

Cited by 95 publications

(52 citation statements)

References 29 publications

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“…In this research, it is assumed that m j = 1 for ∀j ∈ {1, 2,...,T}. This is a rational setting for missile-based defense systems and the "SLS" engagement policy [19]. For artillery-based defense systems, the value of m j (j = 1, 2,...,T) may be substantially increased under the same demand in defensive strength.…”

Section: Problem Formulationmentioning

confidence: 99%

Weapon Target Assignment with Combinatorial Optimization Techniques

Tokgöz¹,

Bulkan²

2013

IJARAI

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Abstract-Weapon Target Assignment (WTA) is the assignment of friendly weapons to the hostile targets in order to protect friendly assets or destroy the hostile targets and considered as a NP-complete problem. Thus, it is very hard to solve it for real time or near-real time operational needs. In this study, genetic algorithm (GA), tabu search (TS), simulated annealing (SA) and Variable Neighborhood Search (VNS) combinatorial optimization techniques are applied to the WTA problem and their results are compared with each other and also with the optimized GAMS solutions. Algorithms are tested on the large scale problem instances. It is found that all the algorithms effectively converge to the near global optimum point(s) (a good quality) and the efficiency of the solutions (speed of solution) might be improved according to the operational needs. VNS and SA solution qualities are better than both GA and TS.

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Section: Problem Formulationmentioning

confidence: 99%

Weapon Target Assignment with Combinatorial Optimization Techniques

Tokgöz¹,

Bulkan²

2013

IJARAI

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“…The second related study is weapon target assignment (WTA) [7][8][9][10] (also known as target allocation and target problem). The WTA problem seeks to find the optimal allocation of friendly weapons to targets for minimising the expected survival value or maximising the expected damage of targets 10 .…”

Section: Related Studiesmentioning

confidence: 99%

Constrained Target Clustering for Military Targeting Process

2017

Def. Sc. Jl.

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Constrained target clustering (CTC) is proposed to support the targeting decision-making in the network centric warfare environment. When area targets are detected by sensors, it is required to decide the points at which a missile or bomb is aimed to achieve operational goals. CTC can determine the optimal numbers and positions of aiming points by transforming the targeting problem into clustering-based optimisation problems. The CTC formulations include objective functions and constraints in consideration of area targets, protected objects, target-level background information, lethal radius, and required damage rate. The numerical example shows how to apply the CTC formulation given a sample data set. In order to compare the effects of different constraints, the demonstration explores from an unconstraint problem to constrained problems by adding constraints. The results show that CTC can effectively decide the aiming points with consideration of both targets and capabilities of friendly weapons, and serve as a targeting decision support system in the network centric warfare environment.

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“…The post-jamming danger value is computed using (2) where V n is the post-jamming danger value, F n is the jamming factor, and E n,final is the final jamming effect. The jamming factor is a multiplicative factor used to account for the effect of jamming on the danger value posed by a threat.…”

Section: Jamming Effectmentioning

confidence: 99%

“…[1], [2]). These systems represent a similar problem to that of TEJA in terms of threat evaluation and allocation of resources, but do not take into account the specific characteristics associated with actions in the EMS.…”

Section: Introductionmentioning

confidence: 99%

Threat evaluation and jamming allocation

Osner

Plessis

2017

IET Radar, Sonar & Navigation

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Abstract:A threat evaluation and jamming allocation (TEJA) system is proposed and implemented in order to optimise the jamming strategy of a platform. This TEJA system accounts for the different effects of jamming techniques on threats and radar modes, the interaction between jamming techniques and channels, the relative frequency and bandwidth used by threats, the uncertainty of the threat environment, and models the progression of threats through various radar modes from initial search to final guidance. Performance of the TEJA system is evaluated for a complex mission which considers a platform with two jammers penetrating an area with ten threats. The TEJA system is shown to be computationally efficient by using an exhaustive search to determine the optimum jamming strategy. The developed jamming strategy allows the platform to survive a mission despite its complexity.

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Air defense missile-target allocation models for a naval task group

Cited by 95 publications

References 29 publications

Weapon Target Assignment with Combinatorial Optimization Techniques

Weapon Target Assignment with Combinatorial Optimization Techniques

Constrained Target Clustering for Military Targeting Process

Threat evaluation and jamming allocation

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