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Songnong Li, Yao Yan, Yongliang Ji, Wenxin Peng, Lingyun Wan and Puning Zhang
The increasing number of Artificial Intelligence of Things (AIoT) devices at the edge layer brings serious challenges to the traditional access network architecture, which results in a decrease in data transmission due to different QoS requirements. To i...
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Fan Huang, Haiping Zhang, Qiaofeng Wu, Shanqing Chi and Mingqing Yang
The proper dispatching of hydraulic structures in water diversion projects is a desirable way to maximize project benefits. This study aims to provide a reliable, optimal scheduling model for hydraulic engineering to improve the regional water environmen...
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Amin Rahimi, Seyed Mojtaba Hejazi, Mostafa Zandieh and Mirpouya Mirmozaffari
In this paper, the problem of finding an assignment of ?n? surgeries to be presented in one of ?m? identical operating rooms (ORs) or machines as the surgical case scheduling problem (SCSP) is proposed. Since ORs are among NP-hard optimization problems, ...
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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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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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