This document summarizes a thesis on using genetic algorithms to optimize space trusses. It begins with background information on the thesis author and supervisors. It then discusses the importance of structural optimization to reduce weight while maintaining safety. The research objectives are outlined as developing a new approach to overcome drawbacks of classical optimization methods by using different design variables. The document provides details on the genetic algorithm approach and compares the proposed method to traditional techniques. Several case studies are presented to demonstrate applying the proposed approach to optimize benchmark space truss problems. Results are compared to other studies to validate the effectiveness of the method.