구조적 설계문제 최적화를 위한 혼합유전알고리즘 = Hybrid Genetic Algorithm for Optimizing Structural Design Problems

다국어 초록 (Multilingual Abstract)

Genetic algorithms(GAs) are suited for solving structural design problems, since they handle the design variables efficiently. This ability of GAs considers them as a good choice for optimization problems. Nevertheless, there are many situations that the conventional genetic algorithms do not perform particularly well, and so various methods of hybridization have been proposed.
Thus, this paper develops a hybrid genetic algorithm(HGA) to incorporate a local convergence method and precision search method around optimum in the genetic algorithms. In case study, it is showed that HGA is able consistently to provide efficient, fine quality solutions and provide a significant capability for solving structural design problems.