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:
Gamal Mohamed Ahmed Nawar
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
    
     
 
       

Author Related Publications

  • Gamal Mohamed Ahmed Nawar, "Integrating GIS and MCDM Using COM Technology", Zarqa University., 2005 More
  • Gamal Mohamed Ahmed Nawar, "An Industrial Site Selection system: Use of COM in Integrating an Intelligent GIS-AHP Application", Egmond-aan-Zee, The Netherlands, 2003 More
  • Gamal Mohamed Ahmed Nawar, "Genetic algorithm approach for solving multi-objective facility layout problem", Alexandria university, 2004 More
  • Gamal Mohamed Ahmed Nawar, "Flow Shop Scheduling using Genetic Algorithm: historical review and categorization of procedures", ZAGAZIG UNIVERSITY, 2013 More
  • Gamal Mohamed Ahmed Nawar, "RESOURCE ALLOCATION ALGORITHM FOR ROBUST PROJECT SCHEDULING", لايوجد, 1900 More

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  • Adel Abdelmoaz, "Impact of neighborhood search of simulation annealing algorithm on solving job shop scheduling problem with sequence dependent setup times", EJEST, 2016 More
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