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Xinglin Yang, Junhu Zou, Qiang Lei, Xiaohui Lu and Zhenzhen Chen
Given the significant emissions from conventional marine diesel engines, many ship owners are increasingly turning to liquefied natural gas (LNG) as a cleaner energy alternative. In this study, a novel power generation system is proposed for LNG-fueled s...
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Ioannis G. Tsoulos and Vasileios Charilogis
In the present work, an innovative two-phase method is presented for parameter tuning in radial basis function artificial neural networks. These kinds of machine learning models find application in many scientific fields in classification problems or in ...
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Ioannis G. Tsoulos, Alexandros Tzallas and Evangelos Karvounis
Radial basis function networks are widely used in a multitude of applications in various scientific areas in both classification and data fitting problems. These networks deal with the above problems by adjusting their parameters through various optimiza...
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Danial Rooyani and Fantahun Defersha
The work in this paper is motivated by a recently published article in which the authors developed an efficient two-stage genetic algorithm for a comprehensive model of a flexible job-shop scheduling problem (FJSP). In this paper, we extend the applicati...
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Guangchun Zhong, Guofang Zhai and Wei Chen
Determining how to reasonably allocate shelters in the central area of the city and improve evacuation efficiency are important issues in the field of urban disaster prevention. This paper introduces the methodology and mathematical model from the field ...
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Qihong Chen, Qingsong Zhao and Zhigang Zou
Unmanned aerial vehicle (UAV) cluster combat is a typical example of an intelligent cluster application, and it is characterized by its large scale, low cost, retrievability, and intra-cluster autonomous coordination. An unmanned reconnaissance mission f...
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Thanatat Pasupa and Sadami Suzuki
We present a novel mathematical programming model to address a team-oriented worker assignment problem, called the team formation and worker assignment problem (TFWAP). The model establishes a multi-skilled team with high group cohesion to meet cell oper...
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Yi-Bo Li, Hong-Bao Sang, Xiang Xiong and Yu-Rou Li
This paper proposes the hybrid adaptive genetic algorithm (HAGA) as an improved method for solving the NP-hard two-dimensional rectangular packing problem to maximize the filling rate of a rectangular sheet. The packing sequence and rotation state are en...
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Liying Yan, Manel Grifoll and Pengjun Zheng
Taking cold-chain logistics as the research background and combining with the overall optimisation of logistics distribution networks, we develop two-stage distribution location-routing model with the minimum total cost as the objective function and vary...
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Gongxian Xu, Dongxue Lv and Wenxin Tan
This paper deals with the parameter identification of a microbial batch process of glycerol to 1,3-propanediol (1,3-PD). We first present a parameter identification model for the excess kinetics of a microbial batch process of glycerol to 1,3-PD. This mo...
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