An accelerated hybrid genetic algorithm for optevnzatoin of electromagnetic structures

Dennis P. Jones; Kazem F. Sabet; Jui Ching Cheng; Linda P.B. Katehi; Kamal Saraband; James F. Harvey

doi:10.1109/APS.1999.789169

An accelerated hybrid genetic algorithm for optevnzatoin of electromagnetic structures

Dennis P. Jones, Kazem F. Sabet^*, Jui Ching Cheng, Linda P.B. Katehi, Kamal Saraband, James F. Harvey

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

This paper presents a novel optimization technique that combines classical and statistical methods in an innovative and efficient way. In specific, an evolutionary genetic algorithm (GA) has been developed that utilizes a local minimization scheme based on the method of conjugate directions. The proposed optimizer has been applied to the design of planar microwave circuits and printed antenna arrays. The advantages of the proposed technique are illustrated by ample numerical results.

Original language	English
Title of host publication	IEEE Antennas and Propagation Society International Symposium
Subtitle of host publication	Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	426-429
Number of pages	4
ISBN (Electronic)	078035639X, 9780780356399
DOIs	https://doi.org/10.1109/APS.1999.789169
State	Published - 1999
Externally published	Yes
Event	1999 IEEE Antennas and Propagation Society International Symposium, APSURSI 1999 - Orlando, United States Duration: 11 07 1999 → 16 07 1999

Publication series

Name	IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting
Volume	1

Conference

Conference	1999 IEEE Antennas and Propagation Society International Symposium, APSURSI 1999
Country/Territory	United States
City	Orlando
Period	11/07/99 → 16/07/99

Bibliographical note

Publisher Copyright:
© 1999 IEEE.

Access to Document

10.1109/APS.1999.789169

Cite this

Jones, D. P., Sabet, K. F., Cheng, J. C., Katehi, L. P. B., Saraband, K., & Harvey, J. F. (1999). An accelerated hybrid genetic algorithm for optevnzatoin of electromagnetic structures. In IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting (pp. 426-429). Article 789169 (IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APS.1999.789169

Jones, Dennis P. ; Sabet, Kazem F. ; Cheng, Jui Ching et al. / An accelerated hybrid genetic algorithm for optevnzatoin of electromagnetic structures. IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting. Institute of Electrical and Electronics Engineers Inc., 1999. pp. 426-429 (IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting).

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title = "An accelerated hybrid genetic algorithm for optevnzatoin of electromagnetic structures",

abstract = "This paper presents a novel optimization technique that combines classical and statistical methods in an innovative and efficient way. In specific, an evolutionary genetic algorithm (GA) has been developed that utilizes a local minimization scheme based on the method of conjugate directions. The proposed optimizer has been applied to the design of planar microwave circuits and printed antenna arrays. The advantages of the proposed technique are illustrated by ample numerical results.",

author = "Jones, {Dennis P.} and Sabet, {Kazem F.} and Cheng, {Jui Ching} and Katehi, {Linda P.B.} and Kamal Saraband and Harvey, {James F.}",

note = "Publisher Copyright: {\textcopyright} 1999 IEEE.; 1999 IEEE Antennas and Propagation Society International Symposium, APSURSI 1999 ; Conference date: 11-07-1999 Through 16-07-1999",

year = "1999",

doi = "10.1109/APS.1999.789169",

language = "英语",

series = "IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting",

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Jones, DP, Sabet, KF, Cheng, JC, Katehi, LPB, Saraband, K & Harvey, JF 1999, An accelerated hybrid genetic algorithm for optevnzatoin of electromagnetic structures. in IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting., 789169, IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 426-429, 1999 IEEE Antennas and Propagation Society International Symposium, APSURSI 1999, Orlando, United States, 11/07/99. https://doi.org/10.1109/APS.1999.789169

An accelerated hybrid genetic algorithm for optevnzatoin of electromagnetic structures. / Jones, Dennis P.; Sabet, Kazem F.; Cheng, Jui Ching et al.
IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting. Institute of Electrical and Electronics Engineers Inc., 1999. p. 426-429 789169 (IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Saraband, Kamal

AU - Harvey, James F.

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AB - This paper presents a novel optimization technique that combines classical and statistical methods in an innovative and efficient way. In specific, an evolutionary genetic algorithm (GA) has been developed that utilizes a local minimization scheme based on the method of conjugate directions. The proposed optimizer has been applied to the design of planar microwave circuits and printed antenna arrays. The advantages of the proposed technique are illustrated by ample numerical results.

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Jones DP, Sabet KF, Cheng JC, Katehi LPB, Saraband K, Harvey JF. An accelerated hybrid genetic algorithm for optevnzatoin of electromagnetic structures. In IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting. Institute of Electrical and Electronics Engineers Inc. 1999. p. 426-429. 789169. (IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting). doi: 10.1109/APS.1999.789169

An accelerated hybrid genetic algorithm for optevnzatoin of electromagnetic structures

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