NDLI: Evaluation of stochastic algorithm performance on antenna optimization benchmarks

Content Provider	IEEE Xplore Digital Library
Author	Brinster, I. De Wagter, P. Lohn, J.
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Computer Engineering, Carnegie Mellon University, Moffett Field, Ca, 94035-0001, USA (Brinster, I.; De Wagter, P.; Lohn, J.)
Abstract	This paper evaluates performance of ten stochastic search algorithms on a benchmark suite of four antenna optimization problems. Hill climbers (HC) serve as baseline algorithms. We implement several variants of genetic algorithms, evolution strategies, and genetic programming as examples of competitive strategy for achieving optimal solution. Ant colony and particle-swarm optimization represent cooperative strategy. Static performance is measured in terms of success rates and mean hit time, while dynamic performance is evaluated from the development of the mean solution quality. Among the evaluated algorithms, steady-state GA provides the best trade-off between efficiency and effectiveness. PSO is recommended for noisy problems, while ACO and GP should be avoided for antenna optimizations because of their low efficiencies.
Starting Page	1
Ending Page	2
File Size	263063
Page Count	2
File Format	PDF
ISBN	9781467304610
ISSN	15223965
e-ISBN	9781467304627
DOI	10.1109/APS.2012.6348758
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Benchmark testing Optimization Antennas Genetic algorithms Heuristic algorithms Arrays Electromagnetics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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