Facilitating Meta-design Techniques for Multi-disciplinary Conceptual Design

Alireza Maheri, Askin T. Isikveren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper represents a method of producing enhanced alternatives against an initial conceptual design candidate in multi-disciplinary design spaces.
Working off the tenet of meta-design, or, the execution of design and development based on concurrent discovery and learning the produced alternatives are assessed at two stages. Primary assessment takes place during the generation process by a software tool developed for this purpose, while the designer carries out the refined assessment with the aid of the interpretation facilities provided by the software. The concept of “unsatisfactoriness” has been introduced and has been employed in assessment of design alternatives.
The search method is a genetic algorithm capable of performing both local and global search. In a local modification the negative effect of modification on
non-local zone is also taken into account. The developed software operates
as a Design Decision Support System for conceptual design candidate evaluation and modification.
Original languageEnglish
Title of host publicationAdaptive Computing in Design and Manufacture
Number of pages6
Publication statusPublished - 2008

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