The adaptive wind driven optimization and its application in electromagnetics

Jogender Nagar, Sawyer Campbell, Douglas Henry Werner, Zikri Bayraktar, Muge Komurcu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we analyze in detail the properties of the newly developed Adaptive Wind Driven Optimization (AWDO) method and demonstrate its efficiency on continuous-valued electromagnetic (EM) problems by comparing it to the performance of the classical Wind Driven Optimization (WDO) method. While WDO has proven to be competitive with similar algorithms such as Particle Swarm Optimization (PSO), there are a large number of inherent parameters in the WDO update equations which the user needs to fine tune for optimal performance. The newly developed AWDO method automatically determines these parameters, creating an adaptive algorithm which eliminates the need for the user to have apriori knowledge of the optimal values for the inherent parameters. Numerical optimization results on EM problems indicate that AWDO matches or surpasses the performance of WDO, yielding a self-adaptive algorithm which is both extremely efficient as well as easy to use.

Original languageEnglish (US)
Title of host publication2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996007870
DOIs
StatePublished - May 23 2018
Event2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018 - Denver, United States
Duration: Mar 25 2018Mar 29 2018

Other

Other2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018
CountryUnited States
CityDenver
Period3/25/183/29/18

Fingerprint

electromagnetism
optimization
Optimization
Optimization Methods
Adaptive Algorithm
Adaptive algorithms
Numerical Optimization
Particle Swarm Optimization
Particle swarm optimization (PSO)
Eliminate
Update
Demonstrate

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computational Mathematics
  • Numerical Analysis
  • Instrumentation

Cite this

Nagar, J., Campbell, S., Werner, D. H., Bayraktar, Z., & Komurcu, M. (2018). The adaptive wind driven optimization and its application in electromagnetics. In 2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ROPACES.2018.8364096
Nagar, Jogender ; Campbell, Sawyer ; Werner, Douglas Henry ; Bayraktar, Zikri ; Komurcu, Muge. / The adaptive wind driven optimization and its application in electromagnetics. 2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018. Institute of Electrical and Electronics Engineers Inc., 2018.
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Nagar, J, Campbell, S, Werner, DH, Bayraktar, Z & Komurcu, M 2018, The adaptive wind driven optimization and its application in electromagnetics. in 2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018. Institute of Electrical and Electronics Engineers Inc., 2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018, Denver, United States, 3/25/18. https://doi.org/10.23919/ROPACES.2018.8364096

The adaptive wind driven optimization and its application in electromagnetics. / Nagar, Jogender; Campbell, Sawyer; Werner, Douglas Henry; Bayraktar, Zikri; Komurcu, Muge.

2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018. Institute of Electrical and Electronics Engineers Inc., 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Nagar J, Campbell S, Werner DH, Bayraktar Z, Komurcu M. The adaptive wind driven optimization and its application in electromagnetics. In 2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018. Institute of Electrical and Electronics Engineers Inc. 2018 https://doi.org/10.23919/ROPACES.2018.8364096