Abstract
This paper introduces a new Multiobjective Evolutionary Algorithm (MOEA) called Multiobjective Delaunay Tessellation Optimization (MODTO), and applies it to several canonical test problems alongside other classical MOEAs and some popular new ones. The advantages and limitations as well as the future intended development of the algorithm in the context of electromagnetics optimization are discussed.
| Original language | English (US) |
|---|---|
| Title of host publication | 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1323-1324 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781538671023 |
| DOIs | |
| State | Published - Jan 10 2019 |
| Event | 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Boston, United States Duration: Jul 8 2018 → Jul 13 2018 |
Publication series
| Name | 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings |
|---|
Conference
| Conference | 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 |
|---|---|
| Country | United States |
| City | Boston |
| Period | 7/8/18 → 7/13/18 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Instrumentation
- Radiation
Cite this
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The Multiobjective Delaunay Tessellation Optimization Algorithm and its Applications in Electromagnetics. / Jenkins, Ronald P.; Werner, Douglas Henry.
2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1323-1324 8608444 (2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - The Multiobjective Delaunay Tessellation Optimization Algorithm and its Applications in Electromagnetics
AU - Jenkins, Ronald P.
AU - Werner, Douglas Henry
PY - 2019/1/10
Y1 - 2019/1/10
N2 - This paper introduces a new Multiobjective Evolutionary Algorithm (MOEA) called Multiobjective Delaunay Tessellation Optimization (MODTO), and applies it to several canonical test problems alongside other classical MOEAs and some popular new ones. The advantages and limitations as well as the future intended development of the algorithm in the context of electromagnetics optimization are discussed.
AB - This paper introduces a new Multiobjective Evolutionary Algorithm (MOEA) called Multiobjective Delaunay Tessellation Optimization (MODTO), and applies it to several canonical test problems alongside other classical MOEAs and some popular new ones. The advantages and limitations as well as the future intended development of the algorithm in the context of electromagnetics optimization are discussed.
UR - http://www.scopus.com/inward/record.url?scp=85061915320&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061915320&partnerID=8YFLogxK
U2 - 10.1109/APUSNCURSINRSM.2018.8608444
DO - 10.1109/APUSNCURSINRSM.2018.8608444
M3 - Conference contribution
AN - SCOPUS:85061915320
T3 - 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
SP - 1323
EP - 1324
BT - 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -