Mary Lou Maher, Josiah Poon, Sylvie Boulanger (auth.), John's Advances in Formal Design Methods for CAD: Proceedings of PDF

By Mary Lou Maher, Josiah Poon, Sylvie Boulanger (auth.), John S. Gero, Fay Sudweeks (eds.)

ISBN-10: 0387349251

ISBN-13: 9780387349251

ISBN-10: 1475744285

ISBN-13: 9781475744286

Designing is without doubt one of the most vital of human acts. strangely, provided that designing has been taking place for plenty of millenia, our realizing of the strategies of designing is remarkably constrained. lately, layout equipment were formalised no longer as humano-centred tactics yet as strategies in a position to computing device implementation with the target of augmenting human designers. This quantity includes contributions which conceal layout tools according to evolutionary structures, generative techniques, overview equipment and research tools. It provides the cutting-edge in formal layout equipment for laptop aided design.

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Extra resources for Advances in Formal Design Methods for CAD: Proceedings of the IFIP WG5.2 Workshop on Formal Design Methods for Computer-Aided Design, June 1995

Example text

Maher, M. L. : 1994, Adaptive design using a genetic algorithm, in J. S. Gero and E. Tyugu (eds), Formal Design Methods for Computer-Aided Design, North-Holland, Amsterdam, pp. 245-263. : 1992, Genetic Algorithms + Data Structures = Evolution Programs, SpringerVerlag, Berlin. : 1991, Exploration and Innovation in Design, Springer-Verlag, New York. Simon, H. , Cambridge, Mass Watabe, H. : 1993, Structural shape optimization by multi-species genetic algorithm, in C. Rowles, H. Liu and N. Foo (eds), Proceedings of the 6th Australian Joint Conference on Artificial Intelligence (AI'93) , Melbourne, Australia, pp.

For every component of the objective function Fk divide the population into 3 groups: "good" (Fk(X) > maxi=l,M Fk(Xi)- Ag*(maxi=l,M Fk(Xi) -mini=l,M Fk(Xi)), "bad" (Fk(X) < mini=l,M Fk(Xi)+ Ab* (maxi=l,M Fk(Xi) -mini=l,M Fk(Xi)), and "neutral" (the rest of population). . Determine J combinations bn+j = x( {b j , r&, ri, ... ,rL}), j = 1, ... , J of the current building blocks which distinguish the "good" sampling set from the "bad" one statistically significantly using anyone of the pattern recognition algorithms.

In design, evolutionary methods have first been applied to optimization problems. More recently, they are also used for solving design problems which require creativity. The main concern of the papers presented at this workshop and the subsequent discussion was the role of evolutionary methods in design exploration, in particular, how evolutionary methods can support human creativity in the design process. 1. Papers This session included two paper presentations: 1. Modelling Design Exploration as Co-Evolution: A Combined Gene Approach by Mary Lou Maher, Josiah Poon and Sylvie Boulanger.

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Advances in Formal Design Methods for CAD: Proceedings of the IFIP WG5.2 Workshop on Formal Design Methods for Computer-Aided Design, June 1995 by Mary Lou Maher, Josiah Poon, Sylvie Boulanger (auth.), John S. Gero, Fay Sudweeks (eds.)


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