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

  • Rafat Hessien Elsayed Elshaer, "Raafat Elshaer, Impact of Project Network Topology on the Performance of Schedule Generation Schemes: Comparative Study, Int. J. Operational Research, (in press, 2022).", Inderscience Enterprises, 2022 More
  • Noha Ahmed Ali Mostafa, "Promoting organizational sustainability and innovation: An exploratory case study from the Egyptian chemical industry", Elsevier, 2018 More
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