Optimization of laminate stacking sequence for buckling load maximization by genetic algorithm
- 1 May 1993
- journal article
- research article
- Published by American Institute of Aeronautics and Astronautics (AIAA) in AIAA Journal
- Vol. 31 (5), 951-956
- https://doi.org/10.2514/3.11710
Abstract
The use of a genetic algorithm to optimize the stacking sequence of a composite laminate for buckling load maximization is studied. Various genetic parameters including the population size, the probability of mutation, and the probability of crossover are optimized by numerical experiments. A new genetic operator-permutation-is proposed and shown to be effective in reducing the cost of the genetic search. Results are obtained for a graphite-epoxy plate, first when only the buckling load is considered, and then when constraints on ply contiguity and strain failure are added. The influence on the genetic search of the penalty parameter enforcing the contiguity constraint is studied. The advantage of the genetic algorithm in producing several near-optimal designs is discussed.Keywords
This publication has 5 references indexed in Scilit:
- Stacking-sequence optimization for buckling of laminated plates by integer programmingAIAA Journal, 1992
- Genetic search strategies in multicriterion optimal designPublished by American Institute of Aeronautics and Astronautics (AIAA) ,1991
- Genetic search - An approach to the nonconvex optimization problemAIAA Journal, 1990
- OPTIMIZATION OF STIFFENED LAMINATED COMPOSITE PLATES WITH FREQUENCY CONSTRAINTSEngineering Optimization, 1987
- Optimum design of laminated fibre composite platesInternational Journal for Numerical Methods in Engineering, 1977