遺伝的アルゴリズムによるフレーム構造物の位相設計

概要

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Present paper describes the use of a stochastic search procedure based on genetic algorithms (GAs), in developing near-optimal topologies of load-bearing frame structures. Much work has already been published on the structural optimization of discrete topology using genetic algorithms. In most cases those papers express topology as a combination of members, and the existence of each member is directly connected to the genetic code. These methods, however, have a weak point. Namely when these methods are applied to the topology, they might include needless members or those which lie on the other members. In addition to these problems, generated structures are not guaranteed to be structurally stable. These problems become more remarkable when the freedom of the problem becomes large. We have already proposed a new method that resolves those problems by expressing the topology as a combination of triangles that are joined to each other. Present paper proposes two methods for expression of the stable frame structures. A detail of the proposed methodology is presented as well as the results of numerical examples that clearly show the effectiveness and efficiency of the present methods.
2001-03-20