優良解探索群知能による自由曲面シェル構造の多目的最適化

概要

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In this paper, the swarm intelligence (SI) is applied to the structural morphogenesis for free surface shell structure. The design of the free surface shell structure is executed along a lot of design intentions relating ensure of concepts for design and structural performance etc. Therefore, the structural morphogenesis is often treated as the multi-objective optimization problem. In SI, we adopt the particle swarm optimization (PSO) and the artificial bee colony (ABC), and have proposed PSO and ABC implementing a manipulation for decent solution search. The numerical examples for the single-objective optimization problem for free surface shell structure using these procedures have already been shown. The decent solutions have comparatively high evaluation solutions containing the Pareto optimal solution and local Pareto optimal solutions. Our schemes are applied to the multi-objective optimization problem for free surface shell structure. The objective functions are the total and the bending strain energy, and the weight of total member. The numerical examples for symmetric and asymmetric surface shell model are shown. From numerical results, the difference of decent solutions obtained from our schemes is explained by its algorithm. In addition, it is shown that the manipulation technique for decent solution search can maintain diversity not only on the design variable space but also on the objective function space.
日本建築学会の論文