Accelerated Particle Swarm Optimization for Endurance of MALE UAV

Author(s):  
Dawood Shah ◽  
Fahad Mumtaz Malik ◽  
Sajjad Hussain ◽  
Syed Adeel Akbar Shah
2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
S. Talatahari ◽  
E. Khalili ◽  
S. M. Alavizadeh

Accelerated particle swarm optimization (APSO) is developed for finding optimum design of frame structures. APSO shows some extra advantages in convergence for global search. The modifications on standard PSO effectively accelerate the convergence rate of the algorithm and improve the performance of the algorithm in finding better optimum solutions. The performance of the APSO algorithm is also validated by solving two frame structure problems.


Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2725
Author(s):  
Alkmini Michaloglou ◽  
Nikolaos L. Tsitsas

The optimization problem of cloaking a perfectly electric conducting or dielectric spherical core is investigated. The primary excitation is due to an external magnetic dipole. The chaotic accelerated particle swarm optimization (CAPSO) algorithm is adjusted and applied to this optimization problem. The optimization variables are the radii, the permittivities and the permeabilities of a small number of spherical shells covering the core. Several feasible optimal designs are obtained, which exhibit perfect or almost perfect cloaking performance for all angles of observation. These optimal designs correspond to two, three or four spherical coating layers composed of ordinary materials. Detailed parametric investigations of the cloaking mechanism with respect to the type and radius of the core and the location of the primary dipole are carried out. The presented optimization procedure and the reported results are expected to be useful in applications like scattering and characterization of optical particles as well as in designing low-profile receiving antennas.


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