Abstract
Conceptual product design involves a series of the designer’s creative thinking processes and consecutive communication with other disciplines are required in this stage to reach a final solution. During this stage, for example, different format of dialogues between designers and engineers, salesmen and customers are required to collect information about the product concept. For the product designers, the decision making procedure in this stage is the configuration inside the black box where designers’ mental activities are frequently misunderstood. Another problem usually found in the conceptual product design stage is that product designers are ignorant of the product requirements defined by others due to insufficient communication. In order to enhance the performance of the conceptual product design, a novel approach based on genetic algorithm (GA) is presented in this paper. Using GA, a dialogue module is established to reproduce feasible design solutions and the evaluation of these alternatives are then calculated inside the dialogue module. The process of conceptual product design is similar to the idea evolution with implementation of GA. An application of the proposed method is also presented briefly in this paper.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ravichandran, B. & Sanderson, A.C., Model-based matching using a hybrid genetic algorithm, Proc. of 1994 IEEE International Conference on Robotica and Automation, Sad Diego, 1994, pp.2064-2069.
Zarubin, V.A., Genetic algorithm in the role of a shell for structural evolution simulation at the conceptual design stage, Proceedings of the first online workshop on soft computing, Nagoya University, Japan, 1996, pp. 205-210.
Moss, R. & Gabriel, S., Implementation of a genetic algorithm to spacecraft structural stability design, Proceedings of the first online workshop on soft computing, Nagoya University, Japan, 1996, pp.83-86.
Peter, A. et al., A genetic solution for the cutting stock problem, Proceedings of the first online workshop on soft computing, Nagoya University, Japan, 1996, pp.87-92.
Goldberg, D.E., Genetic algorithms in search, optimization, and machine learning, Addison-Wesley, 1989.
Davis, L., Handbook of Genetic Algorithms, Van Nostrand Reinhold, 1991.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag London
About this paper
Cite this paper
Wu, H.J., Shih, L.C., Ding, C.H. (1998). A Dialogue Module at the Conceptual Product Design Stage through Genetic Algorithm. In: Chawdhry, P.K., Roy, R., Pant, R.K. (eds) Soft Computing in Engineering Design and Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-0427-8_33
Download citation
DOI: https://doi.org/10.1007/978-1-4471-0427-8_33
Publisher Name: Springer, London
Print ISBN: 978-3-540-76214-0
Online ISBN: 978-1-4471-0427-8
eBook Packages: Springer Book Archive