| Title |
Size and Shape Discrete Optimum Design of Plane and Space Trusses using Shape-GAs |
| Keywords |
genetic algorithm ; discrete optimum ; fitness ; evolutionary process ; shape optimum ; schema theorem ; shape-GAs |
| Abstract |
The objective of this study is the development of size and shape discrete optimum design algorithm which is based on the genetic algorithm. The algorithm can perform both size and shape discrete optimum designs of trusses. The developed algorithm was implemented in a computer program. For the optimum design, the objective function is the weight of trusses and the constraints are stress, buckling and displacement. The basic search method for the optimum design is the genetic algorithm. The algorithm is known to be very efficient for the discrete optimization. This study solves the problem by introducing the genetic algorithm. The genetic algorithm consists of genetic process and evolutionary process. The genetic process selects the next design points based on the survivability of the current design points. The evolutionary process evaluates the survivability of the design points selected from the genetic process. In the genetic process of the simple genetic algorithm, there are three basic operators: reproduction, cross-over, and mutation operators. The efficiency and validity of the developed discrete optimum design algorithm was verified by applying Shape-GAs to optimum design examples. |