Comparison of Evolutionary Optimization Algorithms for FM-TV Broadcasting Antenna Array Null Filling

Pavlos, Lazaridis, Emmanouil, Tziris, Bruce, Mehrdadi, Violeta, Holmes, Ian, Glover, Zaharias, Zaharis, Aristotelis, Bizopoulos and John, Cosmas (2015) Comparison of Evolutionary Optimization Algorithms for FM-TV Broadcasting Antenna Array Null Filling. In: 19th International Conference on Communications (CSCC'15), 16-20 July 2015, Zakynthos island, Greece.

Preview

PDF - Accepted Version Download (590kB) | Preview

Abstract

Broadcasting antenna array null filling is a very
challenging problem for antenna design optimization. This paper
compares five antenna design optimization algorithms (Differential
Evolution, Particle Swarm, Taguchi, Invasive Weed, Adaptive
Invasive Weed) as solutions to the antenna array null filling
problem. The algorithms compared are evolutionary algorithms
which use mechanisms inspired by biological evolution, such as
reproduction, mutation, recombination, and selection. The focus of
the comparison is given to the algorithm with the best results,
nevertheless, it becomes obvious that the algorithm which produces
the best fitness (Invasive Weed Optimization) requires very
substantial computational resources due to its random search
nature.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Schools:	School of Computing and Engineering
Related URLs:	Author Conference
Depositing User:	Pavlos Lazaridis
Date Deposited:	10 Sep 2015 13:46
Last Modified:	28 Aug 2021 17:52
URI:	http://eprints.hud.ac.uk/id/eprint/25658

Downloads

Repository Staff Only: item control page

View Item