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 marketplace a product are dedicated by means of judgements taken within the first 10% of the layout task. This including the desire to lessen extra the time-to-market of top quality leading edge items has elevated the necessity for computing device aid on the conceptual layout degree of the engineering layout technique lifestyle. This complaints firmly specializes in the ongoing study into new makes use of of man-made Intelligence (AI) through the conceptual layout method. It indicates how novel purposes of AI could be built-in with elements of strong 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 constructions to client Electronics.

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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 marketplace a product are dedicated by means of judgements taken within the first 10% of the layout task. This including the desire to lessen extra the time-to-market of top quality leading edge items has elevated the necessity for computing device aid on the conceptual layout degree of the engineering layout technique lifestyle. This complaints firmly specializes in the ongoing study into new makes use of of man-made Intelligence (AI) through the conceptual layout method. It indicates how novel purposes of AI could be built-in with elements of strong 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 constructions to client Electronics.

Show description

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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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V) Changing I evolving the environmental conditions to favour designs in particular regions of the search space. Long Term:Evolution can be very inefficient. Large fitness functions could make the computational costs of a pure Darwinian Evolution process infeasible. The complexity of fitness functions and evaluation routine is likely to increase as GAs and Adaptive Search techniques are applied to increasingly sophisticated problems. It is therefore important to investigate techniques which might enhance an evolutionary strategy.

Function. Components are indexed in the design catalogue(s) according to their The structure and behaviour slots of the components' frame are used when combined in a chromosome to prevent the generation of lethals, as shown in figure 2, and to evaluate the concept they represent to determine fitness scores. 1 Fixed Length Chromosome Strings The first prototype uses a basic string chromosome, the length of the string being determined by the number of sub functions specified by the designer. Each sub function is allocated a bit / allele on the chromosome string.

INTRODUCTION Design is not a simple hierarchical process where the designer is presented with a set of requirements and works steadily through a decomposition strategy moving from abstract concepts to the final concrete product The design problem is ill-defmed and changes as the designer explores it through solutions and partial solutions. Designers use a 'solution focused' strategy. Feasible solutions are posed to probe the 'instability of the problem' and the 'limitations of the way the problem is framed'.

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