A Dynamic Evolutionary Algorithm for Automated Antenna Design
Evolvable antenna has been investigated since the early 1990s. Especially an evolved X-band antenna for NASA's Space Technology 5 (ST5) spacecraft had been deployed on schedule in 2006 and became the first evolved hardware in space. However the fitness function of their evolutionary
algorithm in constraint treating related to ST5 antenna design problem too much. In this paper, a dynamic evolutionary algorithm (DEA) is first designed for solving general constrained optimization problems and tested by 24 constrained benchmark problems proposed in CEC2006. It then is used
to design ST5 antenna as a real world test problem to verify its capacity in solving real world problem. The simulation results are quite promising. The evolved antennas are quite competitive with NASA's.
Keywords: AUTOMATED ANTENNA DESIGN; DYNAMIC OPTIMIZATION; EVOLUTIONARY ALGORITHMS
Document Type: Research Article
Publication date: 01 February 2012
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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