A FORTRAN 90 genetic algorithm module for composite laminate structure design

McMahon, Matthew T.; Watson, Layne T.; Soremekun, Grant; Gürdal, Zafer; Haftka, R. T.

doi:10.1007/bf01215979

Cited by 43 publications

(24 citation statements)

References 5 publications

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“…Material properties are listed in table 3. The GA algorithm described in McMahon et al (1998) was run using a population size of 200 individuals for 25 000 generations. Multiple Elitist selection was used with a crossover probability of 1.00, and a mutation probability of 0.1.…”

Section: Resultsmentioning

confidence: 99%

Design of a recurve actuator for maximum energy efficiency

Seresta¹,

Ragon²,

Abdalla³

et al. 2006

Smart Mater. Struct.

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In this paper we study the optimal design of recurve arrays. An analytic model of the static response of the recurve actuator with energy flow in the system is derived. Two optimization problems for the recurve array are formulated with material, packaging, and performance constraints. One formulation is based on minimum weight. The second formulation is based on energy efficiency. A genetic algorithm is used to find the optimum designs. Recurve arrays designed for maximum energy conversion efficiency are compared to those designed for minimum weight. Parametric studies are conducted to investigate the effect of the stiffness of the driven structure and the maximum deliverable voltage on the optimized designs. These optimization formulations are effective design tools for a relatively complex actuator.

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Section: Resultsmentioning

confidence: 99%

Design of a recurve actuator for maximum energy efficiency

Seresta¹,

Ragon²,

Abdalla³

et al. 2006

Smart Mater. Struct.

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“…The globally optimum designs for the two test problems are enumerated in Appendix A. Also, see [23] for a discussion of language performance tradeoffs between the custom FORTRAN 77 codes and the Fortran 90 template. The test runs described in here establish a baseline for comparison with the migration algorithm presented in the next chapter .…”

Section: Ga Performance Results For Test Problems 1 Andmentioning

confidence: 99%

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

Mathew

Layne

2000

Parallel Algorithms and Applications

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(ABSTRACT)This thesis 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.The migration algorithm is found to diminish the normalized cost and improve the reliability of a GA optimization run. An effective linear speedup for constant work is achieved, and the dynamic load balancing algorithm with distributed control and token ring termination detection yield improved run time performance.ACKNOWLEDGEMENTS.

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“…j + i! j 1 − ÿ j ; j= 1; : : : ; n c (30) {q l } j = {a l } j + i{b l } j ; j= 1; : : : ; n c (32) {g l } j = 2! j {b l } j 1 − ÿ 2 j − {a l } j ÿ j ; j= 1; : : : ; n c (33) Realizing that the summation terms in Equation (25) is a function of the real and complex quantities deÿned in Equations (29)- (33), one can simplify the expression for the mean square value as follows:…”

Section: Response Analysismentioning

confidence: 99%

Optimal placement of dampers for passive response control

Singh

Moreschi

2002

Earthq Engng Struct Dyn

234

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SUMMARYThe e ectiveness of viscous and viscoelastic dampers for seismic response reduction of structures is quite well known in the earthquake engineering community. This paper deals with the optimal utilization of these dampers in a structure to achieve a desired performance under earthquake-induced ground excitations. Frequency-dependent and -independent viscous dampers and viscoelastic dampers have been considered as the devices of choice. To determine the optimal size and location of these dampers in the structure, a genetic algorithm is used. The desired performance is deÿned in terms of several di erent forms of performance functions. The use of the genetic approach is not limited to any particular form of performance function as long as it can be calculated numerically. For illustration, numerical examples for di erent building structures are presented showing the distribution and size of di erent dampers required to achieve a desired level of reduction in the response or a performance index.

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A FORTRAN 90 genetic algorithm module for composite laminate structure design

Cited by 43 publications

References 5 publications

Design of a recurve actuator for maximum energy efficiency

Design of a recurve actuator for maximum energy efficiency

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

Optimal placement of dampers for passive response control

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