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A genetic optimization algorithm for nonlinear stochastic programs in an automated manufacturing system

Hamed Fazlollahtabar, Nezam Mahdavi‐Amiri, Amir Muhammadzadeh

Year
2015
Citations
2

Abstract

We concern with both time and cost optimization in an automated manufacturing system. In our proposed system, material handling is carried out by automated guided vehicles and robots for the manufacturing functions. In this way, defect rates, breakdo

Keywords

Computer scienceNonlinear systemGenetic algorithmMathematical optimizationAlgorithmOptimization algorithmMachine learningMathematics

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