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.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.