Evolutionary fuzzy logic system for intelligent fibre optic components assembly

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Colleges, School and Institutes


This paper presents a new evolutionary fuzzy logic system for use in the assembly of optical fibre components. The system optimizes the light output from a fibre by applying a gradient-based algorithm enhanced with momentum information. The parameters of the algorithm are adjusted on-line by a fuzzy controller according to the progress of the alignment process. The control knowledge base is automatically generated via a new evolutionary algorithm. The algorithm divides the population into three subgroups, each concerned with a different level of knowledge-base optimization, and employs a new adaptive selection routine that aims to keep the selection pressure constant throughout the learning phase. The resulting fuzzy logic controller demonstrated a robust performance with alignment times and accuracies comparing favourably against those obtained using a manually designed controller. Moreover, the evolved knowledge base was expressed in a transparent format that facilitated the understanding of the control policy.


Original languageEnglish
Pages (from-to)571-581
Number of pages11
JournalInstitution of Mechanical Engineers. Proceedings. Part C: Journal of Mechanical Engineering Science
Issue number5
Publication statusPublished - 2002


  • Automatic assembly, Evolutionary algorithms, Fibre optics, Fuzzy logic

ASJC Scopus subject areas