PARALLELIZATION OF THE GENETIC ALGORITHM OF THE PARAMETRIC SYNTHESIS OF THE ANTENNA GRID ON A COMPUTER NETWORK
DOI:
https://doi.org/10.15588/1607-3274-2008-1-5Abstract
To reduce time consumption of genetic algorithm for antenna arrays optimization with given tolerances on its parameters parallelization scheme is proposed. The proposed parallel genetic algorithm is developed for case of computernetwork environment. After looking at the various available parallel models, the island model was chosen as the most appropriate. Synchronous, asynchronous and adaptive realizations were examined, and among them asynchronous variant was chosen.
References
Artyushenko B. A. Syntez liniynoyi antennoyi reshitky z zadanymy dopuskamy na yiyi parametry za dopomohoyu henetychnoho alhorytmu // Radioelektronika. Informatyka. Upravlinnya. – № 1. – 2007. – S. 15–18.
Synthesis of Sparce Planar Arrays Using Modified Real Genetic Algorithm / Chen K., Yun X., He Z., Han C. // IEEE Transactions on Antennas and Propagation. – 2007. – Vol. 55, No. 4.– P. 1067–1073.
John A, Ammann M. J. Design of wide-band printed antenna using genetic algorithm on an array of overlapping sub-patches // IEEE Workshop on Antenna Technology Small Antennas and Novel Metamaterials. – 2006. – P. 92–95
Chattoraj N., Roy J. S. Application of Genetic Algorithm to the Optimization of Microstrip Antennas with and without Superstrate // Application of Genetic Algorithm to the Optimization of Microstrip Antennas with and without Superstrate. – 2006. – Vol. 12, No. 2. – P. 32–35.
A Parallel Electromagnetic Genetic-Algorithm Optimization (EGO) Application for Patch Antenna Design / Villegas F. J., Cwik T., Rahmat-Samii Y., Manteghi M. // IEEE Transactions on antennas and propagation – 2004. – Vol. 52, No. 9. – P. 2424–2435.
Artyushenko B. Genetic Algorithm for Antenna Array with Failed and Deviated Elements Optimization // Proc. of IEEE Int. Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Application. – Dortmund (Germany). – 2007. – P. 228–231.
Eshelman L. The CHC Adaptive Search Algorithm // Foundation of Genetic Algorithms, G. Rawlings, ed. Morgan- Kaufmann. – 1991. – Pp. 256–283.
Whitley D. Cellular genetic algorithms. // In Proceedings of the Fifth International Conference on Genetic Algorithms – San Francisco, California (USA). – 1993 – P. 658.
Genetic Adventures in Parallel: Towards a Good Island Model under PVM [Elektronnyy resurs] / Keith Vertanen. – Elektr. dan. – Rezhym dostupu: http://www. keithv.com/papers/island_model_pvm.pdf, vilʹnyy. – Zaholovok z ekranu.
Tongchim S., Chongstitvatana P. Comparison between synchronous and asynchronous implementation of parallel genetic programming // In Proceedings of the 5th International Conference for Artificial Life and Robotics.– Japan. – 2000. – P. 251–254
Tongchim S., Chongstitvatana P. Parallel genetic algorithm with parameter adaptation // Information Processing Letters. – 2002. – Vol. 82, No. 1. – P. 47–54.
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Copyright (c) 2014 В. Н. Крищук, Г. Н. Шило, Б. А. Артюшенко
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