Optimization of patch antennas via multithreaded simulated annealing based design exploration

Authors

James Richie, Marquette UniversityFollow
Cristinel Ababei, Marquette UniversityFollow

Document Type

Article

Language

eng

Publication Date

10-2017

Publisher

Elsevier

Source Publication

Procedia Engineering

Source ISSN

1877-7058

Abstract

In this paper, we present a new software framework for the optimization of the design of microstrip patch antennas. The proposed simulation and optimization framework implements a simulated annealing algorithm to perform design space exploration in order to identify the optimal patch antenna design. During each iteration of the optimization loop, we employ the popular MEEP simulation tool to evaluate explored design solutions. To speed up the design space exploration, the software framework is developed to run multiple MEEP simulations concurrently. This is achieved using multithreading to implement a manager-workers execution strategy. The number of worker threads is the same as the number of cores of the computer that is utilized. Thus, the computational runtime of the proposed software framework enables effective design space exploration. Simulations demonstrate the effectiveness of the proposed software framework.

Comments

Published version. Procedia Engineering, Vol. 4, No. 4 (October 2017): 249-255. DOI. © 2017 Elsevier. Used with permission.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Recommended Citation

Richie, James and Ababei, Cristinel, "Optimization of patch antennas via multithreaded simulated annealing based design exploration" (2017). Electrical and Computer Engineering Faculty Research and Publications. 305.
https://epublications.marquette.edu/electric_fac/305