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Pan Liu, Tri-Dung Nguyen, Ximing Cai and Xinhao Jiang
Optimal load distribution (OLD) among generator units of a hydropower plant is a vital task for hydropower generation scheduling and management. Traditional optimization methods for solving this problem focus on finding a single optimal solution. However...
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Weijun Pan, Yuanjing Huang, Zirui Yin and Liru Qin
The scheduling of rescue aircraft needs to be studied in depth because of its criticality for the general aviation rescue of forest fires. This paper constructs a collaborative schedule optimization model for general aviation rescue under the condition o...
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Jae-Hyun Ro, Woon-Sang Lee, Hyun-Sun Hwang, Duckdong Hwang, Young-Hwan You and Hyoung-Kyu Song
This paper proposes an estimation scheme of the number iterations for optimal Gauss?Seidel (GS) pre-coding in the downlink massive multiple input multiple output (MIMO) systems for the first time. The number of iterations in GS pre-coding is one of the k...
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Marco Marto, Keith M. Reynolds, José G. Borges, Vladimir A. Bushenkov and Susete Marques
This study examines the potential of combining decision support approaches to identify optimal bundles of ecosystem services in a framework characterized by multiple decision-makers. A forested landscape, Zona de Intervenção Florestal of Pa...
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Dong-Ping Song, Dong Li, Paul Drake
Pág. 251 - 260
This paper considers the optimization problem for the ship deployment, the planned sailing speed, and the service scheduling in a liner shipping route with both sea and port uncertainties taking multiple objectives from different perspectives. The main p...
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Giulia Palomba, Simone Scattareggia Marchese, Vincenzo Crupi and Yordan Garbatov
Integrating innovative solutions for ship design has always been a great challenge for the maritime sector due to complex design and construction processes. With this scenario in mind, the objective of this study was to develop a procedure to evaluate th...
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Laith S. Ismail, Ciprian Lupu and Hamid Alshareefi
A system with multiple controllers and a multiple-model architecture is one of the most effective solutions for the real-time control of nonlinear systems. The employment of these structures necessitates the resolution of certain difficulties, such as se...
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Huifang Pan and Qi Zhu
In this paper, to maximize the energy efficiency (EE) in the two-hop multi-relay cooperative decoding and forwarding (DF) system for simultaneous wireless information and power transmission (SWIPT), an optimal power allocation algorithm is proposed, in w...
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Kue-Hong Chen, Jeng-Hong Kao and Yi-Hui Hsu
In this manuscript, we will apply the regularized meshless method, coupled with an error estimation technique, to tackle the challenge of modeling oblique incident waves interacting with multiple cylinders. Given the impracticality of obtaining an exact ...
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Wencong Xu, Hongyi Lu, Lei Zhao and Borui He
In recent years, with the rapid development of computer technology and artificial intelligence design technology, multiple possible design solutions can be quickly generated by transforming the experience and knowledge of structural design into computer ...
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Ruipeng Zhang, Yanxiang Feng, Yikang Yang and Xiaoling Li
By enabling a satellite network with edge computing capabilities, satellite edge computing(SEC) provides users with a full range of computing service. In this paper, we construct a multi-objective optimization model for task offloading with data-dependen...
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Nikolaos Baras, Antonios Chatzisavvas, Dimitris Ziouzios, Ioannis Vanidis and Minas Dasygenis
In the ever-evolving landscape of warehousing, the integration of unmanned ground vehicles (UGVs) has profoundly revolutionized operational efficiency. Despite this advancement, a key determinant of UGV productivity remains its energy management and batt...
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Yasunari Matsuzaka and Ryu Yashiro
Computer vision is a branch of computer science that studies how computers can ?see?. It is a field that provides significant value for advancements in academia and artificial intelligence by processing images captured with a camera. In other words, the ...
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Jiajia Fan, Wentao Huang, Qingchao Jiang and Qinqin Fan
For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value. Therefore, the main tasks of multimodal multi-objective optimiz...
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Ziyi Zhou, Ghazanfar Ali Anwar and You Dong
It is essential to assess the performance of a community under probable hazard scenarios and to provide possible performance enhancements. This requires establishing performance indicators, an assessment method, and an optimization technique to provide m...
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Jesús Muñuzuri, Antonio Lorenzo-Espejo, Ana Pegado-Bardayo and Alejandro Escudero-Santana
The multiple processes taking place on a daily basis at an intermodal container terminal are often considered individually, given the complexity of their joint consideration. Nevertheless, the integrated planning and scheduling of operations in an interm...
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Yongpeng Shi, Yujie Xia and Ya Gao
As an emerging network architecture and technology, mobile edge computing (MEC) can alleviate the tension between the computation-intensive applications and the resource-constrained mobile devices. However, most available studies on computation offloadin...
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Soon Ho Kwon, Donghwi Jung and Joong Hoon Kim
A traditional urban drainage system (UDS) planning approach generally considers the most probable future rainfall scenario. However, this single scenario (i.e., scenario-optimal) planning approach is prone to failure under recent climatic conditions, whi...
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Xiao Sui, Shu-Chuan Chu, Jeng-Shyang Pan and Hao Luo
A parallel compact Differential Evolution (pcDE) algorithm is proposed in this paper. The population is separated into multiple groups and the individual is run by using the method of compact Differential Evolution. The communication is implemented after...
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Xiaolan Li, Bingbo Gao, Zhongke Bai, Yuchun Pan and Yunbing Gao
Complex geographical spatial sampling usually encounters various multi-objective optimization problems, for which effective multi-objective optimization algorithms are much needed to help advance the field. To improve the computational efficiency of the ...
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