The development and widespread use of computer networks such as the Internet and corporate intranets has made possible the use of various types of information, contained in individual databases, in the field of design optimization. However, there is a crucial need for systems that can combine, integrate, and provide useful access to the wealth of information contained in such separate databases. This paper presents a methodology for searching, selecting, and unifying separate databases, by constructing a new type of master database. A key point in this methodology is the preservation of design-specific data in the constructed master database, so that, for example, structural features and design elements belonging to the design problem are included. The merit is that wide-ranging informational searching becomes possible, using more abstract retrieval conditions. Specifically, it becomes possible to search not only for data values, but also for design problem components. An applied example is given, concerning calculations for a 2-degree of freedom robot arm design optimization. After the construction of a master database based on this paper's methodology and integration with data acquired by searching other databases, an optimal design is achieved by calculations based on genetic algorithms. Additional processing procedures are performed to exploit the advantages of unified databases.
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