hrcak mascot   Srce   HID

Izvorni znanstveni članak

Genetical Swarm Optimization: an Evolutionary Algorithm for Antenna Design

Alessandro Gandelli
Francesco Grimaccia
Marco Mussetta
Paola Pirinoli
Riccardo Enrico Zich

Puni tekst: engleski, pdf (888 KB) str. 105-112 preuzimanja: 1.772* citiraj
APA 6th Edition
Gandelli, A., Grimaccia, F., Mussetta, M., Pirinoli, P. i Zich, R.E. (2006). Genetical Swarm Optimization: an Evolutionary Algorithm for Antenna Design. Automatika, 47 (3-4), 105-112. Preuzeto s https://hrcak.srce.hr/9143
MLA 8th Edition
Gandelli, Alessandro, et al. "Genetical Swarm Optimization: an Evolutionary Algorithm for Antenna Design." Automatika, vol. 47, br. 3-4, 2006, str. 105-112. https://hrcak.srce.hr/9143. Citirano 01.12.2020.
Chicago 17th Edition
Gandelli, Alessandro, Francesco Grimaccia, Marco Mussetta, Paola Pirinoli i Riccardo Enrico Zich. "Genetical Swarm Optimization: an Evolutionary Algorithm for Antenna Design." Automatika 47, br. 3-4 (2006): 105-112. https://hrcak.srce.hr/9143
Harvard
Gandelli, A., et al. (2006). 'Genetical Swarm Optimization: an Evolutionary Algorithm for Antenna Design', Automatika, 47(3-4), str. 105-112. Preuzeto s: https://hrcak.srce.hr/9143 (Datum pristupa: 01.12.2020.)
Vancouver
Gandelli A, Grimaccia F, Mussetta M, Pirinoli P, Zich RE. Genetical Swarm Optimization: an Evolutionary Algorithm for Antenna Design. Automatika [Internet]. 2006 [pristupljeno 01.12.2020.];47(3-4):105-112. Dostupno na: https://hrcak.srce.hr/9143
IEEE
A. Gandelli, F. Grimaccia, M. Mussetta, P. Pirinoli i R.E. Zich, "Genetical Swarm Optimization: an Evolutionary Algorithm for Antenna Design", Automatika, vol.47, br. 3-4, str. 105-112, 2006. [Online]. Dostupno na: https://hrcak.srce.hr/9143. [Citirano: 01.12.2020.]

Sažetak
In this paper a new effective optimization algorithm called Genetical Swarm Optimization (GSO) is presented. This is an hybrid algorithm developed in order to combine in the most effective way the properties of two of the most popular evolutionary optimization approaches now in use for the optimization of electromagnetic structures, the Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). This algorithm is essentially, as PSO and GA, a population-based heuristic search technique, which can be used to solve combinatorial optimization problems, modeled on the concepts of natural selection and evolution (GA) but also based on cultural and social rules derived from the analysis of the swarm intelligence and from the interaction among particles (PSO). Preliminary analyses are here presented with respect to the other optimization techniques dealing with a classical optimization problem. The optimized design of a printed reflectarray antenna is finally reported with numerical results.

Ključne riječi
evolutionary optimization; hybridization strategies; reflectarray antennas

Hrčak ID: 9143

URI
https://hrcak.srce.hr/9143

[hrvatski]

Posjeta: 2.318 *