Facilitating Meta-design Techniques for Multi-disciplinary Conceptual Design

Alireza Maheri, Askin T. Isikveren

Research output: Contribution to conferenceUnpublished paperpeer-review

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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
Number of pages7
Publication statusPublished - 2008
Event8th International Conference on Adaptive Computing in Design and Manufacture 2008 - Bristol, United Kingdom
Duration: 29 Apr 20081 May 2008


Conference8th International Conference on Adaptive Computing in Design and Manufacture 2008
Abbreviated titleACDM08
Country/TerritoryUnited Kingdom

Bibliographical note

The research reported in this paper was supported by the EU FP6 funded project,
SimSAC (Simulating Aircraft Stability and Control Characteristics for Use in Conceptual Design).


  • Design Decision Support System
  • Educated search
  • Conceptual Design
  • Optimisation
  • Genetic Algorithm
  • Evolutionary Computing


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