Design of optimum gain pyramidal horn using self-adaptive differential evolution algorithms

✍ Scribed by Dimitrios Pappas; Sotirios K. Goudos; Konstantinos B. Baltzis; Katherine Siakavara

• Publisher: John Wiley and Sons
• Year: 2010
• Tongue: English
• Weight: 256 KB
• Volume: 21
• Category: Article
• ISSN: 1096-4290
• DOI: 10.1002/mmce.20487

✦ Synopsis

In this work, we apply classical and new self-adaptive differential evolution (DE) algorithms to the design of optimum gain pyramidal horns. The application of DE algorithms to pyramidal horn design allows the accurate calculation of their physical dimensions in a short amount of time. Moreover, self-adaptive DE does not require the prespecified choice of control parameters reducing significantly the users' effort. Representative examples demonstrate the applicability of our proposal. Our study shows that self-adaptive DE algorithms outperform or produce similar results with other methods in the literature in terms of solution accuracy and convergence speed. V