Decentralized Cooperative Control Methods for the Modified Weapon–Target Assignment Problem

Volle, Kyle; Rogers, Jonathan; Brink, Kevin

doi:10.2514/1.g001752

Cited by 18 publications

(4 citation statements)

References 9 publications

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“…Due to the complexity of the real combat situation, the model's efficiency would increase, once the issue is simplified and a more accurate answer is achieved. Consequently, in comparison with other assignment model 15,17,19 , a linear assignment model is being presented based on a simplification of the issue. Even if there is a big number of targets and sites, it only takes about 3 s to solve the model by obtaining the information from the experts before the combat with the information from the sensors.…”

Section: Discussionmentioning

confidence: 99%

“…the target-site assignment. and the relevant methods solving them, numerous studies have been done [13][14][15][16][17][18] . Ahner & Parson 19 have submitted a model for WTA, by using dynamic programming and stochastic process approach.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have been done 16,17,19 concerning the WTA model, while in the current study, targetsite assignment has been discussed. The output of this model can be added as a parameter to WTA problem.…”

mentioning

confidence: 99%

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Designing a Framework for Target-Site Assignment in Naval Combat Management

2016

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In this study, using operational research techniques, a model has been presented to assess battlefield threat, to prioritise aggressive targets, to evaluate the capability of own sites and the risks of the conflict with the targets, to define conflict scenarios and finally to select the best scenario using an assignment model. The above proceedings were added as an intermediate phase of target-site assignment, called 'deciding the best conflict scenario', to the 'threat assessment' and 'weapon-target assignment' in the naval combat management system. For each of the own site, the data collected from the environment together with the panels of experts are shown in a two-dimensional matrix, in which the four areas of the matrix represent the conflict scenarios. Considering that the study was done in a simulated environment, the expert's verification and the convergence of the results in Monte Carlo method were used to validate the research. The proposed model can offer optimised decision to the operational commander through predicting the battlefield and managing the site's capacity and the interaction in between during the combat.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Designing a Framework for Target-Site Assignment in Naval Combat Management

2016

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“…here, constraint 1 denotes that up to s j missiles can be assigned to attack the j th target, constraint 2 indicates that no more than r missiles can be used, and condition 3 denotes that one missile can only attack one target. Therefore, the simplified objective function 34 is finally expressed by…”

Section: Air Combat Mwmta Modelmentioning

confidence: 99%

Multi-weapon multi-target assignment based on hybrid genetic algorithm in uncertain environment

Yang

Chen

Zhen

et al. 2020

International Journal of Advanced Robotic Systems

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The multi-weapon multi-target assignment is always an unavoidable problem in military field. It does make sense to find a proper assignment of weapons to targets which may help maximize the attack effect. In this article, as the information achieved from the battlefield is becoming more and more uncertain, a novel threat assessment method and target assignment algorithm are proposed against the background of unmanned aerial vehicles intelligent air combat. Specifically, with regard to the threat assessment issue, a possibility degree function based on grey theory is structured to further improve the grey analytic hierarchy process. It can transform the interval weight of threat factors into scalar-valued weight, with which the accuracy of threat assessment can be improved. Regarding the target assignment problem, combining with interval grey number, an improved hybrid genetic algorithm is developed. The improvements are mainly consisting of adaptive crossover and mutation operators which can help to find an approximate solution within certain time constraints. Meanwhile, the simulated annealing operation is incorporated to avoid local optimum and premature phenomenon. In addition, the selection operation and fitness function are also redesigned to handle the interval numbers. Simulation results demonstrate the effectiveness of our algorithm in completing the multi-objective weapon-target assignment under uncertain environment.

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Autonomous weapons

Marwala

2024

Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations

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Decentralized Cooperative Control Methods for the Modified Weapon–Target Assignment Problem

Cited by 18 publications

References 9 publications

Designing a Framework for Target-Site Assignment in Naval Combat Management

Designing a Framework for Target-Site Assignment in Naval Combat Management

Multi-weapon multi-target assignment based on hybrid genetic algorithm in uncertain environment

Autonomous weapons

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