Optimization of Job Shop Scheduling Problem by Genetic Algorithms: Case Study
Habbadi SAHAR,
Brahim HERROU,
Souhail SEKKAT
Abstract:The Job Shop scheduling problem is widely used in industry and has been the subject of study by several researchers with the aim of optimizing work sequences. This case study provides an overview of genetic algorithms, which have great potential for solving this type of combinatorial problem. The method will be applied manually during this study to understand the procedure and process of executing programs based on genetic algorithms. This problem requires strong decision analysis throughout the process due to… Show more
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