The GA mimics the principles of nature and it can gradually improve structural design through biological operations such as fitness, selection, crossover and mutation. Recently, premature optimum has been often obtained during the generic GA process with continuous design variable. Therefore, the so-called re-birthing technique has been proposed to avoid this problem. The perfomance of re-birthing technique on the genetic GA-based size optimization is throughly investigated with the size optimizations of spatial structures. From numerical results, it is found to be that the re-birthing technique is very effective to produce the optimum design regardless of the values of parameters used in the GA operations.
Publication
- S.J. Lee and H.J. Lee, The effect of re-birthing technique on GA-based optimization, Architectural Research, Vol. 11, n.02, pp. 19-26, 2009
- S.J. Lee and H.J. Lee, A Comparative Study of Genetic Algorithm and Mathematical Programming Technique applied in Design Optimization of Geodesic Dome, Proceedings of Spring Congress of KASS, pp.101-106, 2008. (in Korean)
- S.J. Lee and H.J. Lee, The design optimization of geodesic dome by using genetic algorithm, Proceedings of Autumn Annual Conference of AIK, pp. 253-256, 2007.1026.-2007.10.27 (in Korean)