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Using GA and MCFDM to Find the Optimal Maintenance Planning

 

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  • Product Description
 

The main goal of this project is to explore the use of stochastic simulation, genetic algorithms, fuzzy decision making and other tools for solving complex maintenance planning optimization problems. We use two different maintenance activities, corrective maintenance and preventive maintenance. Since the evaluation of specific candidate maintenance policies can take a long time to execute and the problem of finding the optimal policy is both non-linear and non-convex, we propose the use of genetic algorithms (GA) for the optimization.

Product Specifications
SKU :COC76249
AuthorSahar Tahvili
LanguageEnglish
BindingPaperback
Number of Pages108
Publishing Year2014-10-17T00:00:00.000
ISBN9783659622434
Edition1 st
Book TypeMathematics
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-08 00:00:00
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