Abstract
The complexity and lack of systematic research in the field of real-life-engineering design optimisation has prevented the industry from exploiting its potential. The aim of this paper is to discuss the issues, and propose tools and techniques for making evolutionary design optimisation in industry. The paper begins by presenting the features of real-life design optimisation problems, and the current status of evolutionary design optimisation in industry. It further identifies the factors that inhibit the industrial applications of evolutionary-based optimisation algorithms, and proposes tools and techniques for addressing two of the main inhibitors: lack of robust optimisers and designer confidence. The paper presents an evolutionary-based algorithm that is developed by the authors for handling the complexity of real-life design optimisation problems. It also proposes a design model analysis tool for enhancing the confidence of designers in optimisation algorithms.
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Roy, R., Tiwari, A., Braneby, A. (2002). Making Evolutionary Design Optimisation Popular in Industry: Issues and Techniques. In: Roy, R., Köppen, M., Ovaska, S., Furuhashi, T., Hoffmann, F. (eds) Soft Computing and Industry. Springer, London. https://doi.org/10.1007/978-1-4471-0123-9_4
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DOI: https://doi.org/10.1007/978-1-4471-0123-9_4
Publisher Name: Springer, London
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