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Genetic-evolution-based optimization methods for engineering designThis paper presents the applicability of a biological model, based on genetic evolution, for engineering design optimization. Algorithms embodying the ideas of reproduction, crossover, and mutation are developed and applied to solve different types of structural optimization problems. Both continuous and discrete variable optimization problems are solved. A two-bay truss for maximum fundamental frequency is considered to demonstrate the continuous variable case. The selection of locations of actuators in an actively controlled structure, for minimum energy dissipation, is considered to illustrate the discrete variable case.
Document ID
Document Type
Conference Paper
Rao, S. S. (Purdue Univ. West Lafayette, IN, United States)
Pan, T. S. (Purdue Univ. West Lafayette, IN, United States)
Dhingra, A. K. (Purdue Univ. West Lafayette, IN, United States)
Venkayya, V. B. (Wright Research Development Center Wright-Patterson AFB, OH., United States)
Kumar, V. (General Electric Co. Schenectady, NY., United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1990
Publication Information
Publication: NASA. Langley Research Center, The Third Air Force(NASA Symposium on Recent Advances in Multidisciplinary Analysis and Optimization
Subject Category
Funding Number(s)
CONTRACT_GRANT: F33615-87-C-3256
Distribution Limits
Work of the US Gov. Public Use Permitted.

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