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Levente Fazekas, Boldizsár Tüu-Szabó, László T. Kóczy, Olivér Hornyák and Károly Nehéz
Flow-shop scheduling problems are classic examples of multi-resource and multi-operation scheduling problems where the objective is to minimize the makespan. Because of the high complexity and intractability of the problem, apart from some exceptional ca...
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Domagoj Jakobovic, Marko Ðurasevic, Karla Brkic, Juraj Fosin, Tonci Caric and Davor Davidovic
Many real-world applications of the vehicle routing problem (VRP) are arising today, which range from physical resource planning to virtual resource management in the cloud computing domain. A common trait of these applications is usually the large scale...
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Toufik Mzili, Ilyass Mzili, Mohammed Essaid Riffi and Gaurav Dhiman
This paper presents a new hybrid algorithm that combines genetic algorithms (GAs) and the optimizing spotted hyena algorithm (SHOA) to solve the production shop scheduling problem. The proposed GA-SHOA algorithm incorporates genetic operators, such as un...
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Aiping Tan, Yunuo Li, Yan Wang and Yujie Yang
Recently, there has been a surge in interest surrounding the field of distributed edge computing resource scheduling. Notably, applications like intelligent traffic systems and Internet of Things (IoT) intelligent monitoring necessitate the effective sch...
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Nikoletta Gkonou, Emmanouil Nisyrios and Konstantinos Gkiotsalitis
This study develops optimal maintenance schedules for train lines, a critical endeavor ensuring the safety, efficiency, and reliability of railway networks. The study addresses the combined scheduling problem of maintenance works and crews on the railway...
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