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Design search under probabilistic specifications using genetic algorithms
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DOI：10.1016/0010-4485(95)00059-3.png)
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In this paper a specification-based design evaluation method is presented and applied to optimization using genetic algorithms. The evaluation model is intended to emulate how specifications are used by product designers in a concurrent design environment. The approach allows designers to formulate optimization problems in terms of design specifications. The method is intended for a wide variety of design applications, including the location of feasible designs or starting points for other mathematical programming techniques. The model is demonstrated through a computer implementation that uses a genetic optimization and search algorithm. The penalty-based objective formulation strives for designs which are acceptable according to specifications. Copyright (C) 1996 Elsevier Science Ltd
Keyword:
design specification
design evaluation
multiple-criteria optimization
genetic algorithms
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