Innovative antenna design using genetic algorithms
Creative evolutionary systems
Visualizing antenna design spaces
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Evolutionary Antenna Design via Modified Normalized GT Algorithm
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
A Study on modeling evolutionary antenna based on ST-5 antenna and NEC2
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
| Hi-index | 0.00 |
Communication, radar and remote sensing systems employ thousands of different types of wire antennas, and there is an increasing need for high-performance, customized antennas. Current methods of designing and optimizing them by hand using simulation or analysis are time- and labor-intensive, limit complexity, increase the cost and time expended, and require that antenna engineers have significant knowledge of the universe of antenna designs. Local optimization methods are not much better, since an initial guess that is close to the final design must be provided. Using a genetic algorithm (GA), it is possible to prescribe the desired performance of an antenna and allow the computer to find the parameters for the design. The GA does not require an initial guess, and the amount of design information the engineer must supply can be very minimal. This paper will present a review of a few wire antennas from previous publications [1-5] designed by GA for unconventional purposes. This approach has the potential to revolutionize antenna design.