A Distributed Genetic Algorithm with Migration for the Design of Composite Laminate Structures

Authors:
McMahon Mathew T.;Watson Layne T.
Affiliations:
-;-
Venue:
A Distributed Genetic Algorithm with Migration for the Design of Composite Laminate Structures
Year:
1998

Citing 0
Cited 2

Blending of Composite Panel Designs Using Genetic Algorithms

IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Genetic algorithm optimization and blending of composite laminates by locally reducing laminate thickness

Advances in Engineering Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the development of a general Fortran 90 framework for the solution of composite laminate design problems using a genetic algorithm (GA). The initial Fortran 90 module and package of operators result in a standard genetic algorithm (sGA). The sGA is extended to operate on a parallel processor, and a migration algorithm is introduced. These extensions result in the distributed genetic algorithm with migration (dGA). The performance of the dGA in terms of cost and reliability is studied and compared to a sGA baseline, using two types of composite laminate design problems. The nondeterminism of GAs and the migration and dynamic load balancing algorithm used in this work result in a changed (diminished) workload, so conventional measures of parallelizability are not meaningful. Thus, a set of experiments is devised to characterize the run time performance of the dGA.