NDLI: A bell-curved based algorithm for mixed continuous and discrete structural optimization

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A bell-curved based algorithm for mixed continuous and discrete structural optimization

Content Provider	NASA Technical Reports Server (NTRS)
Author	Weber, Michael Kincaid, Rex K. Sobieszczanski-Sobieski, Jaroslaw
Copyright Year	2001
Description	An evolutionary based strategy utilizing two normal distributions to generate children is developed to solve mixed integer nonlinear programming problems. This Bell-Curve Based (BCB) evolutionary algorithm is similar in spirit to (mu + mu) evolutionary strategies and evolutionary programs but with fewer parameters to adjust and no mechanism for self adaptation. First, a new version of BCB to solve purely discrete optimization problems is described and its performance tested against a tabu search code for an actuator placement problem. Next, the performance of a combined version of discrete and continuous BCB is tested on 2-dimensional shape problems and on a minimum weight hub design problem. In the latter case the discrete portion is the choice of the underlying beam shape (I, triangular, circular, rectangular, or U).
File Size	744521
Page Count	10
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_20010021133
Archival Resource Key	ark:/13960/t5k984m09
Language	English
Publisher Date	2001-01-01
Access Restriction	Open
Subject Keyword	Computer Programming And Software Normal Density Functions Nonlinear Programming Design Analysis Genetic Algorithms Design Optimization Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Article

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