AI System Support for Conceptual Design: Proceedings of the by M J Hague, A Taleb-Bendiab, M J Brandish (auth.), John E. E.

By M J Hague, A Taleb-Bendiab, M J Brandish (auth.), John E. E. Sharpe (eds.)

It is famous that a few eighty five% of the assets essential to layout and produce to industry a product are devoted via judgements taken within the first 10% of the layout job. This including the desire to decrease extra the time-to-market of top of the range leading edge items has elevated the necessity for desktop aid on the conceptual layout degree of the engineering layout technique lifestyle. This lawsuits firmly specializes in the ongoing examine into new makes use of of man-made Intelligence (AI) through the conceptual layout approach. It indicates how novel purposes of AI will be built-in with points of sturdy modelling, simulation optimisation and a number of criterion selection- making. a selected emphasis is put on using AI tools within the total layout of goods from significant Civil Engineering buildings to shopper Electronics.

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Additional resources for AI System Support for Conceptual Design: Proceedings of the 1995 Lancaster International Workshop on Engineering Design, 27–29 March 1995

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Thornton [12] described a poor performance in achieving convergence for problems involving functional requirements. Other applications are related with more specific problem solving tasks, like configuration of keyboards [31]. 6 FOUNDATIONS FOR THE PRESENT RESEARCH The objective of the present work is to demonstrate the feasibility of implementing a GA capable of to exploring the space of solutions, in the boundaries between the conceptual and embodiment stages. In the present work, the search in a combinatorial space of solutions is considered similar to a search in a catalogue.

Although the current approach appears to be adequate for routine and innovative design. the approach cannot be easily extended to deal with creative design. The grammar based GA provides an efficient way to search the design space specified by the grammar. but the system is limited to finding solutions within this design space. In order to fmd creative solutions to design problems. the system needs to be able to alter the design space it is searching. Gero (1994) encodes the design grammar as part of the chromosome and therefore enables the genetic operators to alter the grammar thereby creating new design spaces to searchs.

In a grammar based GA architecture. the chromosome would on its own be insufficient. The chromosome dermes a potential set of designs not a single design, there is not a simple mapping between the phenotype and the genotype. Pareto Optimisation techniques allow the 32 designer to select designs with desired characteristics, however like animal husbandry it might be important to also provide the designer with information about the pedigree of the design. (vi) Genetic Engineeling The cUiTent prototypes provide the designer with basic facilities for alteIing the genotype of designs.

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