NDLI: Opportunistic Fitness Evaluation in a Genetic Algorithm for Civil Engineering Design Optimization

Content Provider	IEEE Xplore Digital Library
Author	Joslin, D. Dragovich, J. Hoa Vo Terada, J.
Copyright Year	2006
Description	Author affiliation: Seattle Univ., Seattle (Joslin, D.)
Abstract	The process of large structure design in civil engineering relies primarily on trial and error, guided by experience. We apply genetic algorithms to search for valid designs (satisfying all design constraints), minimizing total weight. The fitness evaluation has two components. Evaluating the validity of a candidate solution is very expensive, but the total weight can be evaluated independently and relatively cheaply. We demonstrate two techniques for using the inexpensive quality evaluation to decide whether or not the expensive validity evaluation is worth the investment of time it requires. We also use operators that reflect domain expert knowledge about design improvement techniques in order to improve convergence.
Starting Page	2904
Ending Page	2911
File Size	289891
Page Count	8
File Format	PDF
ISBN	0780394879
DOI	10.1109/CEC.2006.1688674
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Civil engineering Design optimization Design engineering Computer science Software engineering Algorithm design and analysis Investments Convergence Airplanes
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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Opportunistic Fitness Evaluation in a Genetic Algorithm for Civil Engineering Design Optimization