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Intelligent model of scheduling RFACs--Part II: application
This chapter is a continuation of the chapter titled "Intelligent Model of Scheduling RFACs--Part I: Methodology and Strategy" with the emphasis on application of the developed methodology to the scheduling of the RFACs. Based on the methodology and strategy presented in Part I, a new model for multiobjective scheduling problems in RFACs was developed. This model was based on combining a fuzzy-…
- Edisi
- -
- ISBN/ISSN
- 9783901509940/172696
- Deskripsi Fisik
- DAAAM International Scientific Book. 2013.pp 737-750
- Judul Seri
- DAAAM International Scientific Book
- No. Panggil
- -
Intelligent model of scheduling RFACs--Part I: methodology and strategy
Production scheduling of advanced manufacturing systems has attracted significant attention of both researchers and industrial practitioners in recent years. Due to the complexity in these systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully ap…
- Edisi
- -
- ISBN/ISSN
- 9783901509940/172696
- Deskripsi Fisik
- DAAAM International Scientific Book. 2013.pp 719-736
- Judul Seri
- DAAAM International Scientific Book
- No. Panggil
- -
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