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Ran Li, Huizhuo Ma, Feifei Wang, Yihe Wang, Yang Liu and Zenghui Li
Based on Game Theory and Multi-objective optimization problems (MOP), Game Optimization Theory (GOT) is discussed in this paper. Optimization Stability Analysis (OSA), Distance Entropy Multi-Objective Particle Swarm Optimization (DEMPSO) and Fuzzy Multi-...
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Mirza Sikalo, Almira Arnaut-Berilo and Azra Zaimovic
In this paper, we compared the models for selecting the optimal portfolio based on different risk measures to identify the periods in which some of the risk measures dominated over others. For decades, the best known return-risk model has been Markowitz?...
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Jisi Fu, Ping-An Zhong, Bin Xu, Feilin Zhu, Juan Chen and Jieyu Li
Transboundary water resources allocation is an effective measure to resolve water-related conflicts. Aiming at the problem of water conflicts, we constructed water resources allocation models based on game theory and multi-objective optimization, and rev...
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Adam Dlugosz, Pawel Jarosz and Tomasz Schlieter
The paper presents the application of the IMGAMO (immune game theory multiobective algorithm) in the optimal design of electrothermal microactuators. Several numerical tests on the mathematical benchmark test functions were performed, showing the superio...
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Haniyeh Dastyar and Jürgen Pannek
In the context of supplier development we developed four different possibilities of manufacturers? information exchange to investigate the profitability of supplier development under cooperation, collaboration and non-cooperation strategies based on dyna...
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Xinyi Yang, Ziyi Wang, Hengxi Zhang, Nan Ma, Ning Yang, Hualin Liu, Haifeng Zhang and Lei Yang
Combinatorial optimization problems (COPs) are a class of NP-hard problems with great practical significance. Traditional approaches for COPs suffer from high computational time and reliance on expert knowledge, and machine learning (ML) methods, as powe...
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Giorgos Mitsis, Pavlos Athanasios Apostolopoulos, Eirini Eleni Tsiropoulou and Symeon Papavassiliou
Software Defined Networks (SDN) and Mobile Edge Computing (MEC), capable of dynamically managing and satisfying the end-users computing demands, have emerged as key enabling technologies of 5G networks. In this paper, the joint problem of MEC server sele...
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Suzhen Wang, Zhongbo Hu, Yongchen Deng and Lisha Hu
Task offloading and resource allocation are the major elements of edge computing. A reasonable task offloading strategy and resource allocation scheme can reduce task processing time and save system energy consumption. Most of the current studies on the ...
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Anirudh Warrier, Saba Al-Rubaye, Gokhan Inalhan and Antonios Tsourdos
Integrating autonomous unmanned aerial vehicles (UAVs) with fifth-generation (5G) networks presents a significant challenge due to network interference. UAVs? high altitude and propagation conditions increase vulnerability to interference from neighbouri...
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Pengcheng Wu, Hongqiao Wang, Gaowei Liang and Peng Zhang
Unmanned aerial vehicle (UAV) swarm coordinated confrontation is a hot topic in academic research at home and abroad, and dynamic maneuver decision-making is one of the most important research fields for UAV countermeasures. Aiming at the complexity, unc...
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Abdelillah Otmane Cherif,Dmitry Balandin
Pág. 58 - 62
Multi-objective optimization design recently has attracted great attention of the researchers in solving engineering problems that have conflicting objectives.Although several control specifications which are often irreconcilable can be co...
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Eirini Eleni Tsiropoulou, George Kousis, Athina Thanou, Ioanna Lykourentzou and Symeon Papavassiliou
This paper addresses the problem of museum visitors? Quality of Experience (QoE) optimization by viewing and treating the museum environment as a cyber-physical social system. To achieve this goal, we harness visitors? internal ability to intelligently s...
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Manal Khayyat, Anjali Awasthi
Pág. 325 - 338
In recent years, there has been a steady growth in the use of information systems in the logistics domain towards facilitating an agile distribution process. This study investigates the problem of collaboration planning in logistics and proposes an agent...
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Yunkai Ruan, Jinzi Chen, Zhongmou Fan, Tanhua Wang, Jianguo Mu, Ranran Huo, Wei Huang, Weicheng Liu, Yunjian Li and Yunqiang Sun
In this study, the K-means algorithm based on particle swarm optimization (K-PSO) and game theory are introduced to establish the quality evaluation model of a rock mass. Five evaluation factors were considered, i.e., uniaxial saturated compressive stren...
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Iryna Sievidova,Tamila Oliynik,Oleksandra Mandych,Tetyana Kvyatko,Iryna Romaniuk,Larisa Leshchenko,Serhiy Vynohradenko,Serhii Plyhun
Pág. 47 - 56
The paper considers issues on the theoretical substantiation of options for choosing an optimal strategy to integrate an agricultural enterprise into the wholesale market by using methodological tools of the non-cooperative game theory. We have proposed ...
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Mohamed Torky, Mohamed El-Dosuky, Essam Goda, Václav Sná?el and Aboul Ella Hassanien
Unmanned aerial vehicles (UAVs) have emerged as a powerful technology for introducing untraditional solutions to many challenges in non-military fields and industrial applications in the next few years. However, the limitations of a drone?s battery and t...
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Le Hong, Weicheng Cui and Hao Chen
As marine plastic pollution threatens the marine ecosystem seriously, the government needs to find an effective way to clean marine plastics. Due to the advantages of easy operation and high efficiency, autonomous underwater vehicles (AUVs) have been app...
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Hassan Hamie, Anis Hoayek and Hans Auer
The question of whether the liberalization of the gas industry has led to less concentrated markets has attracted much interest among the scientific community. Classical mathematical regression tools, statistical tests, and optimization equilibrium probl...
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D. ?. Vlasov,A. V. Sinchukov
Pág. 50 - 59
Possibilities of MS Excel in realization of various economic-mathematical methods united by the general problem of definition of an optimal solution are shown. First, Pareto's great number and optimization according to Pareto in the conditions of existen...
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Yongyan Zou, Yanzhi Zhang and Xin Yi
In order to improve the network layer of the Internet of things to improve transmission reliability, save time delay and energy consumption, the Internet of things cooperative communication and intelligent agent technology were studied in this paper. In ...
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