Design of Composite Laminates by a Genetic Algorithm with Memory
1994) Design of Composite Laminates by a Genetic Algorithm with Memory. Technical Report ncstrl.vatech_cs//TR-94-02, Computer Science, Virginia Polytechnic Institute and State University. (
Full text available as: |
Abstract
This paper describes the use of a genetic algorithm with memory for the design of minimum thickness composite laminates subject to strength, buckling and ply contiguity constraints. A binary tree is used to efficiently store and retrieve information about past designs. This information is used to construct a set of linear approximations to the buckling load in the neighborhood of each member of the population of designs. The approximations are then used to seek nearby improved designs in a procedure called local improvement. The paper demonstrates that this procedure substantially reduces the number of analyses required for the genetic search. The paper also demonstrates that the use of genetic algorithms helps find several alternate designs with similar performance, thus giving the designer a choice of alternatives.
Item Type: | Departmental Technical Report |
---|---|
Subjects: | Computer Science > Historical Collection(Till Dec 2001) |
ID Code: | 384 |
Deposited By: | User autouser |
Deposited On: | 05 December 2001 |
Alternative Locations: | URL:ftp://ei.cs.vt.edu/pub/TechnicalReports/1994/TR-94-02fig1.ps.gz, URL:http://historical.ncstrl.org/tr/ps/vatech_cs/TR-94-02.ps |