Titlebook: Advances in Soft Computing; Engineering Design a Rajkumar Roy,Takeshi Furuhashi,Pravir K. Chawdhry Conference proceedings 1999 Springer-Ver

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摘要

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Floor Koornneef,Coen van Gulijke how the genetic algorithm may encourage creativity and / or act as a creative agent in engineering design. To be successful, a genetic algorithm search still requires intelligent, creative design engineers; this need is also discussed.

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Introductionincipal constituents of soft computing are Fuzzy, Neuro, Evolutionary and Probabilistic computing techniques. This is a partnership, where each technique contributes a unique methodology for addressing problems in its domain.

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Using Genetic Algorithms to Encourage Engineering Design Creativitye how the genetic algorithm may encourage creativity and / or act as a creative agent in engineering design. To be successful, a genetic algorithm search still requires intelligent, creative design engineers; this need is also discussed.

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COMA

Computer Safety, Reliability, and Securitye multilayer perceptrons, or fuzzy neural networks, trained with the backpropagation algorithm or with a genetic algorithm. ECOS are appropriate techniques to use for creating on-line, real-time, adaptive intelligent systems. This is illustrated on a case study problem of on-line, wastewater time-series flow prediction and control. ..

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Eric Verhulst,Bernhard H. C. Sputhrrent state of the art research and practice in surface optimisation. A simple GA is integrated in an existing CATIA CAD/CAM system, to provide a foundation for the flexible optimisation of freeform curves and surfaces. The paper presents some initial results on surface optimisation. Directions for future research are also identified.

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