Low-cost EM-simulation-driven Multi-objective Optimization of Antennas

Abstract A surrogate-based method for efficient multi-objective antenna optimization is presented. Our technique exploits response surface approximation (RSA) model constructed from sampled low-fidelity antenna model (here, obtained through coarse-discretization EM simulation). The RSA model enables fast determination of the best available trade-offs between conflicting design goals. A low-cost RSA model construction is possible through initial reduction of the design space. Optimization of the RSA model has been carried out using a multi-objective evolutionary algorithm (MOEA). Additional response correction techniques have been subsequently applied to improve selected designs at the high-fidelity EM antenna model level. The refined designs constitute the final Pareto set representation. The proposed approach has been validated using an ultra-wideband (UWB) monocone and a planar Yagi-Uda antenna.

[1]  Kim Fung Man,et al.  Jumping Genes Multiobjective Optimization Scheme for Planar Monopole Ultrawideband Antenna , 2008 .

[2]  Jon P. Webb,et al.  Optimization of microwave devices using 3-D finite elements and the design sensitivity of the frequency response , 2003 .

[3]  Gabriele Eichfelder,et al.  Adaptive Scalarization Methods in Multiobjective Optimization , 2008, Vector Optimization.

[4]  Søren Nymand Lophaven,et al.  DACE - A Matlab Kriging Toolbox , 2002 .

[5]  KozielSlawomir,et al.  Rapid design optimization of antennas using space mapping and response surface approximation models , 2011 .

[6]  Gabriele Eichfelder,et al.  An Adaptive Scalarization Method in Multiobjective Optimization , 2008, SIAM J. Optim..

[7]  J. Volakis,et al.  Multiobjective Optimal Antenna Design Based on Volumetric Material Optimization , 2007, IEEE Transactions on Antennas and Propagation.

[8]  Gang Wang,et al.  Modified Multiobjective Evolutionary Algorithm Based on Decomposition for Antenna Design , 2013, IEEE Transactions on Antennas and Propagation.

[9]  Slawomir Koziel,et al.  Rapid antenna design optimization using shape-preserving response prediction , 2012 .

[10]  Timothy W. Simpson,et al.  Metamodels for Computer-based Engineering Design: Survey and recommendations , 2001, Engineering with Computers.

[11]  Wenquan Cao,et al.  Broadband High-Gain Periodic Endfire Antenna by Using I-Shaped Resonator (ISR) Structures , 2012, IEEE Antennas and Wireless Propagation Letters.

[12]  R. K. Ursem.  Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[13]  Nanbo Jin,et al.  Hybrid Real-Binary Particle Swarm Optimization (HPSO) in Engineering Electromagnetics , 2010, IEEE Transactions on Antennas and Propagation.

[14]  T. Itoh,et al.  Microstrip-fed quasi-Yagi antenna with broadband characteristics , 1998 .

[15]  Slawomir Koziel,et al.  Reliable em‐driven microwave design optimization using manifold mapping and adjoint sensitivity , 2013 .

[16]  J.W. Bandler,et al.  Space mapping: the state of the art , 2004, IEEE Transactions on Microwave Theory and Techniques.

[17]  Nihad Dib,et al.  Position-only side lobe reduction of a uniformly excited elliptical antenna array using evolutionary algorithms , 2013 .

[18]  K. Sarabandi,et al.  A Topology-Based Miniaturization of Circularly Polarized Patch Antennas , 2013, IEEE Transactions on Antennas and Propagation.

[19]  Tamara G. Kolda,et al.  Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods , 2003, SIAM Rev..

[20]  Slawomir Koziel,et al.  Rapid design optimization of antennas using space mapping and response surface approximation models , 2011 .

[21]  S. Koziel,et al.  Space mapping , 2008, IEEE Microwave Magazine.

[22]  Ramana V. Grandhi,et al.  Improved Distributed Hypercube Sampling , 2002 .

[23]  F. Afshinmanesh,et al.  Design of a Single-Feed Dual-Band Dual-Polarized Printed Microstrip Antenna Using a Boolean Particle Swarm Optimization , 2008, IEEE Transactions on Antennas and Propagation.

[24]  Y. Kuwahara,et al.  Multiobjective optimization design of Yagi-Uda antenna , 2005, IEEE Transactions on Antennas and Propagation.

[25]  Slawomir Koziel,et al.  Multi-Objective Design of Antennas Using Variable-Fidelity Simulations and Surrogate Models , 2013, IEEE Transactions on Antennas and Propagation.