This paper presents a new search method that has been developed specifically for search trees defined by a generative grammar. Generative grammars are useful in design as a way to encapsulate the design decisions that lead to candidate solutions. Since the candidate solutions are not confined to a single configuration or topology and thus useful in conceptual design, they may be difficult to computationally analyze. Analysis is achieved in this method by querying the user. A formal definition of a rule-based interactive tree-search is presented in this paper. The user interaction is kept to 30 pair-wise comparisons of candidates. From the data gathered from the comparisons, a stochastic decision-making process infers what candidate solutions best match the known optimal. The method is implemented and applied to a grammar for tying neckties. It is shown through 21 user experiments and 4000 automated experiments that the method consistently finds solutions within the 99.8 percentile. The computational complexity of the proposed algorithm is also studied. The implications of this method for conceptual design are expounded on in the conclusions.
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September 2012
Research-Article
A Stochastic Tree-Search Algorithm for Generative Grammars1
Matthew I. Campbell,
Matthew I. Campbell
2
Associate Professor
Automated Design Laboratory,
Department of Mechanical Engineering,
Austin, TX 78712-0292
e-mail: mc1@mail.utexas.edu
Automated Design Laboratory,
Department of Mechanical Engineering,
University of Texas at Austin
,Austin, TX 78712-0292
e-mail: mc1@mail.utexas.edu
2Corresponding author.
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Rahul Rai,
Rahul Rai
Associate Professor
Department of Mechanical
and Aerospace Engineering,
University at Buffalo (UB)-SUNY,
Buffalo, NY 14260
e-mail: rahulrai@buffalo.edu
Department of Mechanical
and Aerospace Engineering,
University at Buffalo (UB)-SUNY,
Buffalo, NY 14260
e-mail: rahulrai@buffalo.edu
Search for other works by this author on:
Tolga Kurtoglu
Tolga Kurtoglu
Research Scientist
Palo Alto Research Center,
3333 Coyote Hill Road,
Palo Alto, CA 94304
e-mail: kurtoglu@parc.com
Palo Alto Research Center,
3333 Coyote Hill Road,
Palo Alto, CA 94304
e-mail: kurtoglu@parc.com
Search for other works by this author on:
Matthew I. Campbell
Associate Professor
Automated Design Laboratory,
Department of Mechanical Engineering,
Austin, TX 78712-0292
e-mail: mc1@mail.utexas.edu
Automated Design Laboratory,
Department of Mechanical Engineering,
University of Texas at Austin
,Austin, TX 78712-0292
e-mail: mc1@mail.utexas.edu
Rahul Rai
Associate Professor
Department of Mechanical
and Aerospace Engineering,
University at Buffalo (UB)-SUNY,
Buffalo, NY 14260
e-mail: rahulrai@buffalo.edu
Department of Mechanical
and Aerospace Engineering,
University at Buffalo (UB)-SUNY,
Buffalo, NY 14260
e-mail: rahulrai@buffalo.edu
Tolga Kurtoglu
Research Scientist
Palo Alto Research Center,
3333 Coyote Hill Road,
Palo Alto, CA 94304
e-mail: kurtoglu@parc.com
Palo Alto Research Center,
3333 Coyote Hill Road,
Palo Alto, CA 94304
e-mail: kurtoglu@parc.com
1A shorter version of this manuscript has been published in ASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (DETC09/DTM-86804).
2Corresponding author.
Contributed by the Computers and Information Division of ASME for publication in the JOURNALOF COMPUTINGAND INFORMATION SCIENCEIN ENGINEERING. Manuscript received July 11, 2012; final manuscript received July 12, 2012; published online August 9, 2012. Assoc. Editor: Bahram Ravani.
J. Comput. Inf. Sci. Eng. Sep 2012, 12(3): 031006 (11 pages)
Published Online: August 9, 2012
Article history
Received:
July 11, 2012
Revision Received:
July 12, 2012
Citation
Campbell, M. I., Rai, R., and Kurtoglu, T. (August 9, 2012). "A Stochastic Tree-Search Algorithm for Generative Grammars." ASME. J. Comput. Inf. Sci. Eng. September 2012; 12(3): 031006. https://doi.org/10.1115/1.4007153
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