Impact of Genetic Algorithm Operators on its performance for solving Flow Shop Scheduling problem

Faculty Engineering Year: 2013
Type of Publication: ZU Hosted Pages:
Authors:
Rafat Hessien Elsayed Elshaer
Journal: The Egyptian International Journal of Engineering Sciences and Technology zagazig university Volume:
Keywords : Impact , Genetic Algorithm Operators , , performance , solving    
Abstract:
The primary objective of flow shop scheduling is to obtain the best sequence which optimizes various objectives such as makespan, total flow time, total tardiness, or number of tardy jobs, etc. Due to the combinatorial nature of the flow sh
    
     
 
       

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  • Rafat Hessien Elsayed Elshaer, "Mostafa Ashour, Raafat Elshaer, Gamal Nawara, “Ant Colony Approach for Optimizing a Multi-stage Closed-Loop Supply Chain with a Fixed Transportation Charge”, Journal of Advanced Manufacturing Systems, 2021, 1-24.", World Scienti¯c Publishing Company, 2021 More
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Department Related Publications

  • Adel Abdelmoaz, "Flow Shop Scheduling using Genetic Algorithm: historical review and categorization of procedures", ZAGAZIG UNIVERSITY, 2013 More
  • Rafat Hessien Elsayed Elshaer, "Flow Shop Scheduling using Genetic Algorithm: historical review and categorization of procedures", ZAGAZIG UNIVERSITY, 2013 More
  • Gamal Mohamed Ahmed Nawar, "Flow Shop Scheduling using Genetic Algorithm: historical review and categorization of procedures", ZAGAZIG UNIVERSITY, 2013 More
  • Adel Abdelmoaz, "The effect of the AIDC on developing lean manufacturing (a case study)", International Conference on Computers and Industrial Engineering, Alexandria, EGYPT, 2007 More
  • Adel Abdelmoaz, "Flow Shop Scheduling using Genetic Algorithm: Historical review and categorization of procedures", Zagazig University, 2013 More
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