Developing Mathematical Formulations for the Integrated Problem of Sensors, Weapons, and Targets

Ezra, Kristopher L.; DeLaurentis, Daniel A.; Mockus, Linas; Pekny, Joseph F.

doi:10.2514/1.i010372

Cited by 2 publications

(1 citation statement)

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“…In this algorithm, some novel genetic operators were adopted to enhance the performance of the algorithm. Ezra et al [25,26] analyzed the integrated relationship between sensor, weapon, and target. They proposed four integrated formulations combining the sensor resource management and weapon-target assignment to further demonstrate the characteristics of the independent and dependent S-WTA problem.…”

Section: Introductionmentioning

confidence: 99%

A Novel Genetic Algorithm for the Synthetical Sensor-Weapon-Target Assignment Problem

Zhou

Yang

et al. 2019

Applied Sciences

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The sensor-weapon–target assignment (S-WTA) problem is a crucial decision issue in C4ISR. The cooperative engagement capability (CEC) of sensors and weapons depends on the S-WTA schemes, which can greatly affect the operational effectiveness. In this paper, a mathematical model based on the synthetical framework of the S-WTA problem is established, combining the dependent and independent cooperative engagement modes of sensors and weapons. As this problem is a complex combinatorial optimization problem, a novel genetic algorithm is proposed to improve the solution of this formulated S-WTA model. Based on the prior knowledge of this problem, a problem-specific population initialization method and two novel repair operators are introduced. The performances of the proposed algorithm have been validated on the known benchmarks. Extensive experimental studies compared with three state-of-the-art approaches demonstrate that the proposed algorithm can generate better assignment schemes for the most of the benchmarks.

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Section: Introductionmentioning

confidence: 99%