document: Truss topology optimization by a modified genetic algorithm This paper describes the use of a stochastic search procedure based on genetic algorithms for developing near-optimal topologies of load-bearing truss structures . Most existing cases these publications express the truss topology as a combination of members . These methods , however , have the disadvantage that the resulting topology may include needless members or those which overlap other members . In addition to these problems , the generated structures are not necessarily structurally stable . A new method , which resolves these problems by expressing the truss topology as a combination of triangles , is proposed in this paper . Details of the proposed methodology are presented as well as the results of numerical examples that clearly show the effectiveness and efficiency of the method
doc_bio_tags: B I I O O B I I O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: stochastic search procedure modified genetic algorithm truss topology optimization triangles
abstractive_keyphrases: near-optimal topologies load-bearing truss structures