Abstract
This paper describes an expert system being developed for the optimum ergonomic design of workplaces. Ergonomic knowledge is encoded in rules and frames using the Leonardo development tool, a hybrid shell with rule-based and object-oriented knowledge representation facilities and a forward /backward inference mechanism. The optimization is performed in a program external to Leonardo. The program implements a Genetic Algorithm which is an efficient directed random search procedure capable of yielding the global optimal solution in a complex search space without requiring specific knowledge about the nature of the problem to be solved.
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References
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© 1991 Computational Mechanics Publications
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Pham, D.T., Onder, H.H. (1991). An Expert System for Ergonomic Workplace Design Using a Genetic Algorithm. In: Rzevski, G., Adey, R.A. (eds) Applications of Artificial Intelligence in Engineering VI. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3648-8_19
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DOI: https://doi.org/10.1007/978-94-011-3648-8_19
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-85166-678-2
Online ISBN: 978-94-011-3648-8
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