Multi-objective Memetic Algorithm with Adaptive Weights for Inverse Antenna Design

This paper deals with discrete topology optimization and describes the modification of a single-objective algorithm into its multi-objective counterpart. The result is a significant increase in the optimization speed and quality of the resulting Pareto front as compared to conventional state-of-the-...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on antennas and propagation s. 1
Hlavní autoři: Kadlec, Petr, Capek, Miloslav
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 2025
Témata:
Antennas
Diversity reception
Frequency modulation
Heuristic algorithms
inverse design
Linear programming
Memetics
numerical methods
Optimization
optimization methods
Shape
shape sensitivity analysis
structural topology design
Topology
Vectors
ISSN:0018-926X, 1558-2221
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract This paper deals with discrete topology optimization and describes the modification of a single-objective algorithm into its multi-objective counterpart. The result is a significant increase in the optimization speed and quality of the resulting Pareto front as compared to conventional state-of-the-art automated inverse design techniques. This advancement is possible thanks to a memetic algorithm combining a gradient-based search for local minima with heuristic optimization to maintain sufficient diversity. The local algorithm is based on rank-1 perturbations; the global algorithm is NSGA-II. An important advancement is the adaptive weighting of objective functions during optimization. The procedure is tested on four challenging examples dealing with both physical and topological metrics and multi-objective settings. The results are compared with standard techniques, and the superb performance of the proposed technique is reported. The implemented algorithm applies to antenna inverse design problems and is an efficient data miner for machine learning tools.
AbstractList This paper deals with discrete topology optimization and describes the modification of a single-objective algorithm into its multi-objective counterpart. The result is a significant increase in the optimization speed and quality of the resulting Pareto front as compared to conventional state-of-the-art automated inverse design techniques. This advancement is possible thanks to a memetic algorithm combining a gradient-based search for local minima with heuristic optimization to maintain sufficient diversity. The local algorithm is based on rank-1 perturbations; the global algorithm is NSGA-II. An important advancement is the adaptive weighting of objective functions during optimization. The procedure is tested on four challenging examples dealing with both physical and topological metrics and multi-objective settings. The results are compared with standard techniques, and the superb performance of the proposed technique is reported. The implemented algorithm applies to antenna inverse design problems and is an efficient data miner for machine learning tools.
Author Capek, Miloslav
Kadlec, Petr
Author_xml – sequence: 1
  givenname: Petr
  orcidid: 0000-0002-0878-5442
  surname: Kadlec
  fullname: Kadlec, Petr
  email: kadlecp@vut.cz
  organization: Brno University of Technology, Brno, Czech Republic
– sequence: 2
  givenname: Miloslav
  orcidid: 0000-0002-7442-889X
  surname: Capek
  fullname: Capek, Miloslav
  email: miloslav.capek@fel.cvut.cz
  organization: Czech Technical University in Prague, Prague, Czech Republic
BookMark eNpFkE9PAjEQxRuDiYDePXjoF1js36U9blCRBKIxGL1turtTKIEuaSvGb-8iJF7mZfLem0x-A9TzrQeEbikZUUr0_bJ4HTHC5IhLJSRVF6hPpVQZY4z2UJ8QqjLN8s8rNIhx061CCdFHb4uvbXJZW22gTu4AeAE7SK7GxXbVBpfWO_zdTVw0Zv_nf4BbrVPEtg145g8QIuDCJ_De4AeIbuWv0aU12wg3Zx2i96fH5eQ5m79MZ5NintWUi5RpwXJrRaXZmBheW20U5w1rVC2kbahRBpituMlzzkiVN8A1z8e01lJoRkDxISKnu3VoYwxgy31wOxN-SkrKI5OyY1IemZRnJl3l7lRxAPAfp2TcPcP5L_-SX7E
CODEN IETPAK
ContentType Journal Article
DBID 97E
RIA
RIE
AAYXX
CITATION
DOI 10.1109/TAP.2025.3584518
DatabaseName IEEE Xplore (IEEE)
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1558-2221
EndPage 1
ExternalDocumentID 10_1109_TAP_2025_3584518
11074263
Genre orig-research
GrantInformation_xml – fundername: Grantov? Agentura ?esk? Republiky
  grantid: 21-19025M
  funderid: 10.13039/501100001824
GroupedDBID -~X
0R~
29I
4.4
5GY
5VS
6IK
85S
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACGFS
ACIWK
ACNCT
AENEX
AGQYO
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ASUFR
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
EBS
F5P
HZ~
IFIPE
IPLJI
JAVBF
LAI
M43
O9-
OCL
P2P
RIA
RIE
RNS
RXW
TAE
TN5
AAYXX
ABFSI
ACKIV
AETIX
AGSQL
AI.
AIBXA
ALLEH
CITATION
E.L
EJD
H~9
IAAWW
IBMZZ
ICLAB
IDIHD
IFJZH
TAF
VH1
VJK
VOH
ID FETCH-LOGICAL-c134t-9426ff4b9270a3cf9a833d2d8c45fd1a8ae2fb3a66320b6de393671c954920e83
IEDL.DBID RIE
ISSN 0018-926X
IngestDate Sat Nov 29 07:44:24 EST 2025
Wed Aug 27 02:14:25 EDT 2025
IsPeerReviewed true
IsScholarly true
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c134t-9426ff4b9270a3cf9a833d2d8c45fd1a8ae2fb3a66320b6de393671c954920e83
ORCID 0000-0002-7442-889X
0000-0002-0878-5442
PageCount 1
ParticipantIDs ieee_primary_11074263
crossref_primary_10_1109_TAP_2025_3584518
PublicationCentury 2000
PublicationDate 2025-00-00
PublicationDateYYYYMMDD 2025-01-01
PublicationDate_xml – year: 2025
  text: 2025-00-00
PublicationDecade 2020
PublicationTitle IEEE transactions on antennas and propagation
PublicationTitleAbbrev TAP
PublicationYear 2025
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0014844
Score 2.4647737
Snippet This paper deals with discrete topology optimization and describes the modification of a single-objective algorithm into its multi-objective counterpart. The...
SourceID crossref
ieee
SourceType Index Database
Publisher
StartPage 1
SubjectTerms Antennas
Diversity reception
Frequency modulation
Heuristic algorithms
inverse design
Linear programming
Memetics
numerical methods
Optimization
optimization methods
Shape
shape sensitivity analysis
structural topology design
Topology
Vectors
Title Multi-objective Memetic Algorithm with Adaptive Weights for Inverse Antenna Design
URI https://ieeexplore.ieee.org/document/11074263
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 1558-2221
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0014844
  issn: 0018-926X
  databaseCode: RIE
  dateStart: 19630101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELagYoCBZxHlJQ8sDGkTO4ntMQIqFqoKFdEtcuwLFNGkSlN-P7aTQhcGtiiJI-s7xff87hC60aC4L1jmcQDlhRHNPR5p7kFENHPcR8ndsAk2GvHpVIxbsrrjwgCAKz6Dvr10uXxdqpUNlQ2sr2IbjG-jbcbihqz1kzIIedi0XA7MH0zi6Ton6YvBJBkbT5BEfWrUbWTne2zooI2hKk6nDA_-uZtDtN8ajzhppH2EtqA4RnsbLQVP0LNj1Hpl9tGcZPgJ5paniJPPt7Ka1e9zbEOvONFy4Z6_utjoEhvjFdumG9UScGLr2guJ7115Rxe9DB8md49eOzfBUwENa0-YXeV5mAnCfElVLiSnVBPNVRjlOpBcAskzKo2xQfws1kAFjVmgbMaP-MDpKeoUZQFnCBspCs6EZioGY9opHgoQ5jM0kopoRXvodo1kumjaY6TOrfBFalBPLeppi3oPdS2Iv--1-J3_cf8C7drlTbzjEnXqagVXaEd91bNlde2E_w0s860D
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV05T8MwFLagIAEDZxHl9MDCkJLYTmKPEVAV0VYVKqJb5NgvUEQP9eD3YzspdGFgi5zIsj47fuf3HkLXGhT3RZx5HEB5LKS5x0PNPQiJjh33UXLXbCLudHi_L7olWd1xYQDAJZ9B3T66WL4eq4V1ld1aW8UWGF9HGyFjxC_oWj9BA8ZZUXQ5MP8wifrLqKQvbntJ19iCJKxTI3BD2-FjRQqttFVxUqWx98_17KPdUn3ESbHfB2gNRodoZ6Wo4BF6dpxab5x9FHcZbsPQMhVx8vk2ng7m70Nsna840XLi3r867-gMG_UV27Ib0xngxGa2jyS-dwkeVfTSeOjdNb2yc4KnAsrmnjCrynOWCRL7kqpcSE6pJporFuY6kFwCyTMqjbpB_CzSQAWN4kDZmB_xgdNjVBmNR3CCsNlHwWOhYxWBUe4UZwKEmYaGUhGtaA3dLJFMJ0WBjNQZFr5IDeqpRT0tUa-hqgXx97sSv9M_xq_QVrPXbqWtx87TGdq2UxXej3NUmU8XcIE21dd8MJteuoPwDV15sEo
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Multi-objective+Memetic+Algorithm+with+Adaptive+Weights+for+Inverse+Antenna+Design&rft.jtitle=IEEE+transactions+on+antennas+and+propagation&rft.au=Kadlec%2C+Petr&rft.au=Capek%2C+Miloslav&rft.date=2025&rft.pub=IEEE&rft.issn=0018-926X&rft.spage=1&rft.epage=1&rft_id=info:doi/10.1109%2FTAP.2025.3584518&rft.externalDocID=11074263
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0018-926X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0018-926X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0018-926X&client=summon