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El-Sayed M. El-Kenawy, Nima Khodadadi, Ashin Khoshnaw, Seyedali Mirjalili, Amel Ali Alhussan, Doaa Sami Khafaga, Abdelhameed Ibrahim and Abdelaziz A. Abdelhamid
Recently, piracy and copyright violations of digital content have become major concerns as computer science has advanced. In order to prevent unauthorized usage of content, digital watermarking is usually employed. This work proposes a new approach to di...
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Babak Salamat and Andrea M. Tonello
The aim of this paper is to provide a realistic stochastic trajectory generation method for unmanned aerial vehicles that offers a tool for the emulation of trajectories in typical flight scenarios. Three scenarios are defined in this paper. The trajecto...
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Babak Salamat and Andrea M. Tonello
The aim of this paper is to provide a realistic stochastic trajectory generation method for unmanned aerial vehicles that offers a tool for the emulation of trajectories in typical flight scenarios. Three scenarios are defined in this paper. The trajecto...
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Paulo Rotela Junior, Luiz Célio Souza Rocha, Giancarlo Aquila, Edson de Oliveira Pamplona, Pedro Paulo Balestrassi, Anderson Paulo de Paiva
Pág. 623 - 631
The objective of this paper is to present a proposal to form robust portfolios using a stochastic efficiency analysis of assets from companies in the Sao Paulo Stock Exchange, focusing on the worst market state. In order to do this, information about the...
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Shih-Cheng Horng and Shieh-Shing Lin
The stochastic inequality constrained optimization problems (SICOPs) consider the problems of optimizing an objective function involving stochastic inequality constraints. The SICOPs belong to a category of NP-hard problems in terms of computational comp...
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Sifang Zhou and Qingnian Zhang
The container relocation problem (CRP) is an important factor affecting the operation efficiency of container terminal yards, and it has attracted much attention for decades. The CRP during the pickup operations of import containers is still an intractab...
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Tamás Kegyes, Alex Kummer, Zoltán Süle and János Abonyi
We analyzed a special class of graph traversal problems, where the distances are stochastic, and the agent is restricted to take a limited range in one go. We showed that both constrained shortest Hamiltonian pathfinding problems and disassembly line bal...
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Jonatan Gomez and Andres Rivera
Studying the theoretical properties of optimization algorithms such as genetic algorithms and evolutionary strategies allows us to determine when they are suitable for solving a particular type of optimization problem. Such a study consists of three main...
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Guohong Zhao, Zeyu Kang, Yixin Huang and Shufan Wu
In this paper, for an Low-Earth Orbit (LEO) satellite network with inter-satellite links, a routing optimization method is developed in the case of stochastic link failure. First, a discrete-time strategy is used for the satellite network to acquire seve...
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Ruobing Xue, Xiangshen Ye and Weiping Wu
In this paper we study the optimization of the discrete-time stochastic linear-quadratic (LQ) control problem with conic control constraints on an infinite horizon, considering multiplicative noises. Stochastic control systems can be formulated as Markov...
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Xiaogang Guo, Zhejing Bao and Wenjun Yan
Recently, the increasing integration of electric vehicles (EVs) has drawn great interest due to its flexible utilization; moreover, environmental concerns have caused an increase in the application of combined heat and power (CHP) units in multi-energy s...
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Mohamadhossein Noruzoliaee and Bo Zou
This paper proposes a facility-specific modeling approach to plan maintenance and rehabilitation (M&R) activities on a network of airport runway pavement facilities. The objective of the modeling approach is to minimize system M&R cost while reco...
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Mohamadhossein Noruzoliaee and Bo Zou
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Sabastine Mushori,Delson Chikobvu
Pág. 256 - 264
A dynamic stochastic methodology in optimal portfolio selection that maximizes investment opportunities and minimizes maximum downside risk while taking into account implicit transaction costs incurred in initial trading and in subsequent rebalancing of ...
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Matteo Sangiorgio and Giorgio Guariso
Multi-reservoir systems management is complex because of the uncertainty on future events and the variety of purposes, usually conflicting, of the involved actors. An efficient management of these systems can help improving resource allocation, preventin...
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Matteo Sangiorgio and Giorgio Guariso
Multi-reservoir systems management is complex because of the uncertainty on future events and the variety of purposes, usually conflicting, of the involved actors. An efficient management of these systems can help improving resource allocation, preventin...
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Gejirifu De, Zhongfu Tan, Menglu Li, Liling Huang and Xueying Song
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Neslihan Fidan Keçeci, Viktor Kuzmenko and Stan Uryasev
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Fathi Abid, Pui Lam Leung, Mourad Mroua and Wing Keung Wong
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Tienan Li, Xueting Zeng, Cong Chen, Xiangmin Kong, Junlong Zhang, Ying Zhu, Fan Zhang and He Dong
In this study, an initial water-rights allocation (IWRA) model is proposed for adjusting the traditional initial water-rights empowerment model based on previous water intake permits, with the aim of improving the productivity of water resources under po...
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