Truss topology optimisation using genetic algorithms
This paper focuses on the application of genetic algorithms (GAs) to structural optimisation problems by simultaneously varying member size, truss topology and configuration. The classic ten bar redundant truss problem has been used as a test case. In the first instance, only member size and topology were considered as design variables. In the second case, configuration was introduced as an additional design variable.