A Hybrid Genetic-Algorithm Space-Mapping Tool for the Optimization of Antennas

Mario Fernández Pantoja; Peter Meincke; Amelia Rubio Bretones

doi:10.1109/TAP.2007.891556

A Hybrid Genetic-Algorithm Space-Mapping Tool for the Optimization of Antennas

Mario Fernández Pantoja, Peter Meincke, Amelia Rubio Bretones

University of Granada

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

A hybrid global-local optimization technique for the design of antennas is presented. It consists of the subsequent application of a genetic algorithm (GA) that employs coarse models in the simulations and a space mapping (SM) that refines the solution found in the previous stage. The technique is particularly suited to optimization problems for which long computational times are required to achieve accurate solutions.

Original language	English
Journal	I E E E Transactions on Antennas and Propagation
Volume	55
Issue number	3
Pages (from-to)	777-781
ISSN	0018-926X
DOIs	https://doi.org/10.1109/TAP.2007.891556
Publication status	Published - 2007

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title = "A Hybrid Genetic-Algorithm Space-Mapping Tool for the Optimization of Antennas",

abstract = "A hybrid global-local optimization technique for the design of antennas is presented. It consists of the subsequent application of a genetic algorithm (GA) that employs coarse models in the simulations and a space mapping (SM) that refines the solution found in the previous stage. The technique is particularly suited to optimization problems for which long computational times are required to achieve accurate solutions.",

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AU - Bretones, Amelia Rubio

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AB - A hybrid global-local optimization technique for the design of antennas is presented. It consists of the subsequent application of a genetic algorithm (GA) that employs coarse models in the simulations and a space mapping (SM) that refines the solution found in the previous stage. The technique is particularly suited to optimization problems for which long computational times are required to achieve accurate solutions.

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DO - 10.1109/TAP.2007.891556

M3 - Journal article

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A Hybrid Genetic-Algorithm Space-Mapping Tool for the Optimization of Antennas

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