Antenna design by genetic algorithms

Period of Performance: 06/23/2008 - 04/24/2009


Phase 1 STTR

Recipient Firm

Arcon Corp.
260 Bear Hill Road
Waltham, MA 02451
Principal Investigator
Firm POC

Research Institution

Pennsylvania State University
110 Technology Center Building
University Park, PA 16802
Institution POC

Research Topics


ARCON Corporation, in collaboration with The Pennsylvania State University Applied Research Laboratory, proposes to develop a genetic algorithm (GA) that places multiple antennas and/or arrays on a platform in order to optimize the radiation pattern objectives and spectrum co-utilization. We will investigate the application of different types of genetic algorithms to optimize several hybrid electromagnetic models. The proposed research includes: (1) exploring several possible chromosome representations in the GA, including binary, real, and mixed; (2) trying several types of GA, such as Pareto, Efficient Global Optimization (EGO), and mixed integer; (3) testing methods of increasing the computational speed of the cost function in order to accelerate the GA; and (4) finding appropriate constraints on the parameters in order to narrow the search space