Development of genetic algorithm based approach for structural optimisation

This thesis investigates the applicability of artificial intelligence based approach to structural optimisation design problem solving. Specifically, a hybrid approach integrating the genetic algorithm based search strategy with heuristic design methodology is presented. This approach is used for the least-weight design of discrete structures subject to structural performance constraints related to member allowable stress, joint displacement and member buckling computed via finite element analysis. The cross-sectional areas, location and topology of the structural members are described by the sizing, geometric and topological variables respectively.Doctor of Philosophy (CSE