A physical optics multi-level binary space partitioning algorithm for large scattering problems

2006 ◽  
Author(s):  
J.A. Martinez ◽  
J.G. Meana ◽  
F. Las Heras ◽  
A.G. Pino
Keyword(s):  
Physical Optics ◽  
Space Partitioning ◽  
Scattering Problems ◽  
Binary Space Partitioning ◽  
Multi Level ◽  
Partitioning Algorithm

scholarly journals An Enhanced Binary Space Partitioning Algorithm for Indoor Radio Propagation

2013 ◽  
Vol 13 (4) ◽  
pp. 103-110 ◽  
Author(s):  
A. S. M. Z. KAUSAR ◽  
A. W. REZA ◽  
K. A. NOORDIN ◽  
M. J. ISLAM ◽  
H. RAMIAH
Keyword(s):  
Radio Propagation ◽  
Space Partitioning ◽  
Indoor Radio ◽  
Binary Space Partitioning ◽  
Indoor Radio Propagation ◽  
Partitioning Algorithm

scholarly journals Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History

2017 ◽  
Vol 2017 ◽  
pp. 1-22
Author(s):  
Danping Wang ◽  
Kunyuan Hu ◽  
Lianbo Ma ◽  
Maowei He ◽  
Hanning Chen
Keyword(s):  
Particle Swarm Optimization ◽  
Statistical Tests ◽  
Particle Swarm ◽  
Local Optimum ◽  
Space Partitioning ◽  
Swarm Optimization ◽  
Real World Problem ◽  
Binary Space Partitioning ◽  
Solution Accuracy ◽  
Search History

A hybrid coevolution particle swarm optimization algorithm with dynamic multispecies strategy based on K-means clustering and nonrevisit strategy based on Binary Space Partitioning fitness tree (called MCPSO-PSH) is proposed. Previous search history memorized into the Binary Space Partitioning fitness tree can effectively restrain the individuals’ revisit phenomenon. The whole population is partitioned into several subspecies and cooperative coevolution is realized by an information communication mechanism between subspecies, which can enhance the global search ability of particles and avoid premature convergence to local optimum. To demonstrate the power of the method, comparisons between the proposed algorithm and state-of-the-art algorithms are grouped into two categories: 10 basic benchmark functions (10-dimensional and 30-dimensional), 10 CEC2005 benchmark functions (30-dimensional), and a real-world problem (multilevel image segmentation problems). Experimental results show that MCPSO-PSH displays a competitive performance compared to the other swarm-based or evolutionary algorithms in terms of solution accuracy and statistical tests.

scholarly journals Reflexionseigenschaften von Windenergieanlagen im Funkfeld von Funknavigations- und Radarsystemen

2015 ◽  
Vol 13 ◽  
pp. 9-18 ◽  
Author(s):  
S. Sandmann ◽  
S. Divanbeigi ◽  
H. Garbe
Keyword(s):  
High Frequency ◽  
Physical Optics ◽  
Very High Frequency ◽  
Radio Range ◽  
Multi Level ◽  
Very High

Abstract. Die hier behandelte Untersuchung befasst sich mit den Störungen des elektrischen Feldes einer Doppler Very High Frequency Omnidirectional Radio Range Navigationsanlage (DVOR) in der Gegenwart von Windenergieanlagen (WEA). Hierfür wird die Feldstärke auf 25 konzentrischen Kreisbahnen, sog. Orbit Flights verschiedener Höhen und mit verschiedenen Radien rund um die DVOR-Anlage numerisch simuliert. Insbesondere werden die Einflüsse diverser Parameter der WEA wie deren Anzahl, Position, Rotorwinkel, Turmhöhe und Rotordurchmesser auf die Feldverteilung herausgestellt, sowie die Anwendbarkeit der Simulationsmethode Physical Optics (PO) durch Vergleich der Simulationsergebnisse mit denen der Multi Level Fast Multipol Method (MLFMM) untersucht.

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