NDLI: Improving the effectiveness of GA-based approaches to microwave imaging through an innovative parabolic crossover

Content Provider	IEEE Xplore Digital Library
Author	Bort, E. Franceschini, G. Massa, A. Rocca, P.
Copyright Year	2002
Abstract	Several studies have shown that evolutionary-based approaches are efficient, effective, and are robust optimization methods for microwave imaging. However, the convergence rate of such techniques still does not meet all the requirements for online real applications and attempting to speed up the optimization is needed. In this paper, a new local search operator, the fitness-based parabolic crossover, is proposed and embedded into a real-coded genetic algorithm. Such a modification enables the imaging method to achieve a better tradeoff between convergence rate and robustness to false solutions. By exploiting the relationship between the crossover operation and the local quadratic behavior of the functional, it is possible to increase the convergence rate of the genetic algorithm and, thereby, to obtain an acceptable solution with a smaller number of fitness function evaluations. The effectiveness of the modified genetic-algorithm-based imaging method is assessed by considering some synthetic test cases in different dimensions and noisy conditions. The obtained numerical results provide an empirical evidence of the efficiency and reliability of the proposed modified evolutionary algorithm.
Sponsorship	IEEE Antennas and Propagation Society
Starting Page	138
Ending Page	142
Page Count	5
File Size	247651
File Format	PDF
ISSN	15361225
Volume Number	4
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microwave imaging Robustness Genetic algorithms Microwave theory and techniques Convergence Optimization methods Testing Evolutionary computation Inverse problems Parallel processing microwave imaging Evolutionary operators genetic algorithms inverse scattering
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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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