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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