Design of Large Thinned Arrays Using Different Biogeography-Based Optimization Migration Models. (6th September 2016)

• Record Type: Journal Article
• Authors: Goudos, Sotirios K.; Sahalos, John N.
• Other Names: Park Ikmo Academic Editor.
• Is Part Of: International journal of antennas and propagation. Volume 2016(2016)
• Publication Date: 2016-09-06
• Subjects: Electronic apparatus and appliances -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Antennes (Électronique); Ondes radioélectriques -- Propagation; Antennas (Electronics); Electronic apparatus and appliances; Radio wave propagation; Electronic journals; Periodicals; 621.382405
• DOI: 10.1155/2016/5359298
• Languages: English
• ISSNs: 1687-5869

Abstract

Abstract : Array thinning is a common discrete-valued combinatorial optimization problem. Evolutionary algorithms are suitable techniques for above-mentioned problem. Biogeography-Based Optimization (BBO), which is inspired by the science of biogeography, is a stochastic population-based evolutionary algorithm (EA). The original BBO uses a linear migration model to describe how species migrate from one island to another. Other nonlinear migration models have been proposed in the literature. In this paper, we apply BBO with four different migration models to five different large array design cases. Additionally we compare results with five other popular algorithms. The problems dimensions range from 150 to 300. The results show that BBO with sinusoidal migration model generally performs better than the other algorithms. However, these results are considered to be indicative and do not generally apply to all optimization problems in antenna design.