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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Subbu, R. Sanderson, A.C. Bonissone, P.P. |
| Copyright Year | 1998 |
| Description | Author affiliation: Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA (Subbu, R.) |
| Abstract | This paper presents a comparison of the performance of a fuzzy logic controlled genetic algorithm (FLC-GA) and a parameter tuned genetic algorithm (TGA) for an agile manufacturing application. In the FLC-GA, fuzzy logic controllers dynamically schedule parameters of the object-level GA. A fuzzy knowledge-base is automatically identified and tuned using a high-level GA. In the TGA, a high-level GA is used to determine an optimal static parameter set for the object-level GA. The object-level GA supports a global evolutionary optimization of design, manufacturing, and supplier planning decisions for manufacturing of printed circuit assemblies in an agile environment. We demonstrate that high-level system identification or tuning performed with small object-level search spaces, can be extended to more elaborate object-level search spaces. The TGA performs superior searches, but incurs large search times. The FLC-GA performs faster searches than a TGA, and is slower than the GA that utilizes a canonical static parameter set. However, search quality of the FLC-GA is comparable to that of the GA which utilizes a canonical static parameter set. |
| Starting Page | 434 |
| Ending Page | 440 |
| File Size | 773722 |
| Page Count | 7 |
| File Format | |
| ISBN | 0780344235 |
| ISSN | 21589860 |
| DOI | 10.1109/ISIC.1998.713701 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-09-17 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy logic Genetic algorithms Automatic control Agile manufacturing Manufacturing automation Optimal control Job shop scheduling Dynamic scheduling Fuzzy control Fuzzy sets |
| Content Type | Text |
| Resource Type | Article |
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