Surface-to-air missile path planning using genetic and PSO algorithms

• Autorzy: Zandavi S. M.

Identyfikatory

DOI

10.15632/jtam-pl.55.3.801

• Języki publikacji: EN

Abstrakty

EN

Optimization algorithms use various mathematical and logical methods to find optimal points. Given the complexity of models and design levels, this paper proposes a heuristic optimization model for surface-to-air missile path planning in order to achieve the maximum range and optimal height based on 3DOF simulation. The proposed optimization model involves design variables based on the pitch programming and initial pitch angle (boost angle). In this optimization model, we used genetic and particle swarm optimization (PSO) algorithms. Simulation results indicated that the genetic algorithm was closer to reality but took longer computation time. PSO algorithm offered acceptable results and shorter computation time, so it was found to be more efficient in the surface-to-air missile path planning.

Słowa kluczowe

EN

path planning; genetic algorithm; PSO algorithm; surface-to-air missile; 3DOF simulation

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2017
• Tom: Vol. 55 nr 3
• Strony: 801--812
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Zandavi S. M.

• Department of Engineering, Payam Noor University, Tehran, Iran

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)