An evolutional system design methodology for computer generated moving structural designs is proposed in which multiobjective optimization strategies are used. In this methodology, operators for evolution are defined as factors for causing evolution, so that actions by these operators on prior design solutions will generate new design solutions. Here, a number of environments are prepared, each of which has different evaluative functions expressed as multiobjective optimization problems. The evolution of design solutions thus occurs in a variety of environments. A given environment can be considered as imposing a set of criteria in which specific abilities are crucial or advantageous. However, using a variety of environments for the generation of solutions has advantages: (1) a broader range of solutions is obtained, and (2) by moving a solution generated in one environment to a different one, additional "species" solutions can be generated, increasing the probability of finding preferable results. The proposed methodology is applied to computer-generated moving structural systems consisting of arms and joints, as well as the data for moving these structures.
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