A Computational Intelligence Approach to Alleviate Complexity Issues in Design

An approach to handle complexity issues in design is presented, where computation is used to reach the most suitable solutions. The approach is based on a novel concept of the objects forming a design. This concept is termed intelligent design objects. Such objects exhibit intelligent behaviour in the sense that they approach the most desirable solutions for conflicting, vague goals put forward by a designer. That is, the objects know ‘themselves’ what to do to satisfy the designer’s goals. This is accomplished by using fuzzy information processing to deal with the vagueness of objectives, and multi-objective evolutionary algorithm to deal with the conflicts among the objectives. The result of this approach is that designers and decision makers have great certainty about the satisfaction of their goals and are able to concentrate on second order aspects they could not consider with great awareness prior to the computation. The effectiveness of the approach is demonstrated through implementation in two applications from the domain of architecture.

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