Multi-objective deployment model for regional air defense

This study focuses on the optimal deployment and positioning of missile systems to protect a region against possible threats using the layered air defense system. A multi-objective optimization model is proposed to maximize the probability of killing and minimize the total cost. Unlike previous stud...

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Bibliographic Details
Published in:Soft computing (Berlin, Germany) Germany), 2023-06, Vol.27 (11), p.7321-7335
Main Authors: Özdemir, Zeynep, Ic, Yusuf Tansel
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computational Intelligence
Control
Engineering
Mathematical Logic and Foundations
Mechatronics
Optimization
Robotics
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Summary:This study focuses on the optimal deployment and positioning of missile systems to protect a region against possible threats using the layered air defense system. A multi-objective optimization model is proposed to maximize the probability of killing and minimize the total cost. Unlike previous studies, our study takes into account different types of missiles. Our goal is to provide a set of solutions for potential future threat scenarios. The multi-objective feasibility enhanced particle swarm optimization (MOFEPSO) model is used as a heuristic algorithm, and the model is implemented in MATLAB. We then perform a comparative analysis using a goal programming (GP) model. The GP model is solved using the Generalized Reduced Gradient (GRG) method with the Excel Solver tool. The results of the comparative analysis show that the MOFEPSO model has some advantages over the GRG solution in terms of sensitive results related to the probability of kill and the diversification of missile investment costs.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-023-07965-9