Saitou K, Jakiela M J
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge 02139, USA. (jakiela, kazu)@mit.edu
Artif Life. 1995 Summer;2(4):377-416. doi: 10.1162/artl.1995.2.4.377.
A question is posed on how a particular subassembly sequence is generated in randomized assembly. An extended design of mechanical conformational switches [16] is proposed that can encode several subassembly sequences. A particular subassembly sequence is generated due to conformational changes of parts during one-dimensional randomized assembly. The optimal subassembly sequence that maximizes the yield of a desired assembly can be found via genetic search over a space of parameterized conformational switch designs, rather than a space of subassembly sequences. The resulting switch design encodes the optimal subassembly sequence so that the desired assemblies are put together only in the optimal sequence. The results of genetic search and rate equation analyses reveal that the optimal subassembly sequence depends on the initial concentration of parts and the defect probabilities during randomized assembly. The results indicate that abundant parts and parts with high defect probabilities should be assembled earlier rather than later.
提出了一个关于在随机组装中如何生成特定子组件序列的问题。提出了一种扩展的机械构象开关设计[16]，它可以编码多个子组件序列。在一维随机组装过程中，由于零件的构象变化而生成特定的子组件序列。通过在参数化构象开关设计空间而非子组件序列空间中进行遗传搜索，可以找到使所需组件产量最大化的最优子组件序列。所得的开关设计对最优子组件序列进行编码，以便仅以最优序列将所需组件组装在一起。遗传搜索和速率方程分析结果表明，最优子组件序列取决于零件的初始浓度和随机组装过程中的缺陷概率。结果表明，数量充足的零件和缺陷概率高的零件应尽早而非晚些时候进行组装。
