A real-valued parallel clonal selection algorithm and its application to the design optimization of multi-layered frequency selective surfaces

Zikri Bayraktar, Jeremy A. Bossard, Xiande Wang, Douglas Henry Werner

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A parallelized real-valued clonal selection algorithm (CLONALG) is successfully implemented in this paper utilizing message passing interface (MPI) to reduce the computational burden of a large clone pool. CLONALG is one of the many branches of Artificial Immune System (AIS) algorithms with unique inherent properties that make it a very efficient optimization techniques for multimodal problems such as the ones commonly encountered in computational electromagnetic design. As a demonstration of its effectiveness, a numerical study is carried out with known benchmark functions along with the optimization of multi-layered frequency selective surface (FSS) filters in the X-band. Our results show that the CLONALG can consistently outperform a standard GA implementation particularly in multi-modal optimization problems.

Original languageEnglish (US)
Article number6142052
Pages (from-to)1831-1843
Number of pages13
JournalIEEE Transactions on Antennas and Propagation
Volume60
Issue number4
DOIs
StatePublished - Apr 1 2012

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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