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Information Journal Paper

Title

Modelling and Optimal Solving of Dependent Sensor-Weapon/Threat Assignment and Scheduling Problem by a Metaheuristic Algorithm Based on GRASP

Pages

  35-49

Abstract

 Nowadays, smart systems are being widely used in combats because there exist a lot of applications for these systems which usually depend on sensors. Matching sensors to weapons and threats or in short sensor-weapon/threat assignment is a major challenge in modern wars and is classified as a complex Resource Assignment optimization problem. Consequently, the result of modern wars highly depends on effective usage of sensors and weapons. In this paper, the sensor-weapon/threat assignments and their Scheduling problem have been formulated. The object of this model is maximizing the destruction of threats in a given time horizon subject to operational constraints. This model has been solved using CPLEX. Furthermore, a metaheuristic algorithm based on GRASP is developed. Finally, using a set of randomly generated test instances, the results of all developed solution approaches are reported and compared.

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  • Cite

    APA: Copy

    Ghorbani Saber, R., RANJBAR, M., Balochian, S., & IZADIPOUR, A.. (2020). Modelling and Optimal Solving of Dependent Sensor-Weapon/Threat Assignment and Scheduling Problem by a Metaheuristic Algorithm Based on GRASP. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 8(1 ), 35-49. SID. https://sid.ir/paper/361829/en

    Vancouver: Copy

    Ghorbani Saber R., RANJBAR M., Balochian S., IZADIPOUR A.. Modelling and Optimal Solving of Dependent Sensor-Weapon/Threat Assignment and Scheduling Problem by a Metaheuristic Algorithm Based on GRASP. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2020;8(1 ):35-49. Available from: https://sid.ir/paper/361829/en

    IEEE: Copy

    R. Ghorbani Saber, M. RANJBAR, S. Balochian, and A. IZADIPOUR, “Modelling and Optimal Solving of Dependent Sensor-Weapon/Threat Assignment and Scheduling Problem by a Metaheuristic Algorithm Based on GRASP,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 8, no. 1 , pp. 35–49, 2020, [Online]. Available: https://sid.ir/paper/361829/en

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