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Ryo Matsuoka, Koichi Kobayashi and Yuh Yamashita
A pickup and delivery problem by multiple agents has many applications, such as food delivery service and disaster rescue. In this problem, there are cases where fuels must be considered (e.g., the case of using drones as agents). In addition, there are ...
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Mauro Dell?Amico, Jafar Jamal and Roberto Montemanni
The minimum-cost arborescence problem is a well-studied problem. Polynomial-time algorithms for solving it exist. Recently, a new variation of the problem called the Precedence-Constrained Minimum-Cost Arborescence Problem with Waiting Times was presente...
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Mathijs Verhoeff and Wim J. C. Verhagen
The primary objective in military aviation is to optimize operational readiness, the capability to perform assigned flight missions. This capability is influenced by aircraft downtime due to preventive maintenance at prescribed flight time intervals. In ...
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Che Han Lim and Seung Ki Moon
In a flexible job shop problem with transportation (FJSPT), a typical flexible manufacturing system comprises transporters that pick up and deliver jobs for processing at flexible job shops. This problem has grown in importance through the wide use of au...
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Carlos Oliveira, José Baptista and Adelaide Cerveira
With excess energy use from non-renewable sources, new energy generation solutions must be adopted to make up for this excess. In this sense, the integration of renewable energy sources in high-rise buildings reduces the need for energy from the national...
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Masoud Mohammadi, Poria Fajri, Reza Sabzehgar and Farshad Harirchi
Finding the optimal speed profile of an autonomous electric vehicle (AEV) for a given route (eco-driving) can lead to a reduction in energy consumption. This energy reduction is even more noticeable when the regenerative braking (RB) capability of AEVs i...
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Yaser Al Mtawa
High availability is vital for network operators to ensure reliable services. Network faults can disrupt functionality and require quick recovery. Multipath networking enhances availability through load balancing and optimal link utilization. However, eq...
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Tong Chen and Shinya Hanaoka
Congestion and delays occur on airport surfaces as a result of a rapid increase in the demand for air transport. The aim of this study is to determine the differences between optimized and observed operations to improve airport surface operation at Tokyo...
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Alexandru-Liviu Olteanu, Marc Sevaux and Mohsen Ziaee
In this paper, an unrelated parallel machine scheduling problem with job (product) and machine acceptance and renewable resource constraints was considered. The main idea of this research was to establish a production facility without (or with minimum) i...
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Neil Jami, Neele Leithäuser and Christian Weiß
We optimize the assignment of transporters to several jobs. Each job consists of processing a large, decomposable volume. A fleet of transporters is given, each of which can only process a limited volume at a time. After processing its share, a transport...
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Michal Berlinski, Eryk Warchulski and Stanislaw Kozdrowski
This paper presents a logistics problem, related to the transport of goods, which can be applied in practice, for example, in postal or courier services. Two mathematical models are presented as problems occurring in a logistics network. The main objecti...
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Simone Buffa, Mohammad Hossein Fouladfar, Giuseppe Franchini, Ismael Lozano Gabarre and Manuel Andrés Chicote
Peak shaving, demand response, fast fault detection, emissions and costs reduction are some of the main objectives to meet in advanced district heating and cooling (DHC) systems. In order to enhance the operation of infrastructures, challenges such as su...
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Linh Thi Truc Doan, Yousef Amer, Sang-Heon Lee, Phan Nguyen Ky Phuc and Tham Thi Tran
Minimizing the impact of electronic waste (e-waste) on the environment through designing an effective reverse supply chain (RSC) is attracting the attention of both industry and academia. To obtain this goal, this study strives to develop an e-waste RSC ...
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Jianshen Zhu, Chenxi Wang, Aleksandar Shurbevski, Hiroshi Nagamochi and Tatsuya Akutsu
Inference of chemical compounds with desired properties is important for drug design, chemo-informatics, and bioinformatics, to which various algorithmic and machine learning techniques have been applied. Recently, a novel method has been proposed for th...
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Behnam Rasouli, Mohammad Javad Salehpour, Jin Wang and Gwang-jun Kim
This paper presents a new model based on the Monte Carlo simulation method for considering the uncertainty of electric vehicles? charging station?s load in a day-ahead operation optimization of a smart micro-grid. In the proposed model, some uncertain ef...
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Benedetto Aluisio, Sergio Bruno, Luca De Bellis, Maria Dicorato, Giuseppe Forte and Michele Trovato
The integration of electric vehicles (EVs) in power systems can be encouraged by charging station diffusion. These stations can perform smart charging processes, and can take advantage of the involvement of distributed generation sources in a microgrid f...
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Javier Parra Peña, Daniel Ferreira de Castro, Nelson Leonardo Sepúlveda Flórez
Pág. 4 - 17
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Annelies De Corte and Kenneth Sörensen
Water distribution networks consist of different components, such as reservoirs and pipes, and exist to provide users (households, agriculture, industry) with high-quality water at adequate pressure and flow. Water distribution network design optimizatio...
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Annelies De Corte, Kenneth Sörensen
Pág. 1 - 37
Water distribution networks consist of different components, such as reservoirs and pipes, and exist to provide users (households, agriculture, industry) with high-quality water at adequate pressure and flow. Water distribution network design optimizatio...
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Mirko M. Stojiljkovic, Mladen M. Stojiljkovic and Bratislav D. Blagojevic
In this paper, a methodology for multi-objective optimization of trigeneration plants is presented. It is primarily applicable to the systems for buildings? energy supply characterized by high load variations on daily, weekly and annual bases, as well as...
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