A study on multi-criteria structural optimum design using qualitative and fuzzy reasoning

Masao Arakawa, Hiroshi Yamakawa

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    In an ordinary optimum design process, designers are often required to express a design problem as a mathematical model with a single objective. However, a number of objectives are usually found in structural designs, and it may then be tedious and difficult for designers to choose just one objective among them. In such cases, it will be natural and reasonable to formulate a multi-objective optimization problem. Recently, many studies have been made on interactive multi-criteria optimum design problems. In conventional methods, designers have been forced to make important and difficult decisions concerning the "trade-off ratio", "marginal rates of substitution", "surrogate worth trade-off" and so on, which may give much information in the optimization. To reduce the load of the designer in both the decision-making process and formulation, we have done a series of studies on qualitative optimization which based on qualitative and fuzzy reasoning. In this paper, we review these studies, clarify the definition of the concept of qualitative optimization and then examine the efficiency of the algorithm. From numerical examples of the optimum designs of a parabolic antenna, it is shown that the proposed method is applicable and effective for optimizations of complex structural systems by qualitative understanding, and can well support decision-making by the designers. In the layout optimization problems of a parabolic antenna, we show an extension of the method to the primary stage of the design process, that is, the conceptual or fundamental design, which has seemed difficult to handle in the conventional optimization method.

    Original languageEnglish
    Pages (from-to)127-142
    Number of pages16
    JournalFinite Elements in Analysis and Design
    Volume14
    Issue number2-3
    DOIs
    Publication statusPublished - 1993

    ASJC Scopus subject areas

    • Computer Science Applications
    • Computational Mechanics

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