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Lin Guo, Anand Balu Nellippallil, Warren F. Smith, Janet K. Allen and Farrokh Mistree
When dealing with engineering design problems, designers often encounter nonlinear and nonconvex features, multiple objectives, coupled decision making, and various levels of fidelity of sub-systems. To realize the design with limited computational resou...
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Enrico Baldasso, Mia Elg, Fredrik Haglind and Francesco Baldi
The selection of a proper machinery system is one of the primary decisions to be taken during the ship design phase. Nonetheless, this selection is made challenging by the presence of a variety of alternatives, and by the limited data availability at the...
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Ivica Skoko, Zvonimir Lu?ic, Zaloa Sanchez-Varela and Zlatko Boko
Over the past century, with an accelerated increase in world energy demand, oil remained the most intriguing energy source, while oil exploration and production evolved from an onshore to an offshore exploration and production facility. In logistic and o...
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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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Chrysanthi Aroniadi and Grigorios N. Beligiannis
The Transportation Problem (TP) is a special type of linear programming problem, where the objective is to minimize the cost of distributing a product from a number of sources to a number of destinations. Many methods for solving the TP have been studied...
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Enrique Castillo
This work is a short review of the state of the art aiming to contribute to the use, disclosure, and propagation of systems of linear inequalities in real life, teaching, and research. It shows that the algebraic structure of their solutions consists of ...
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Joseph B. Kadane
The maximum sum subarray problem is to find a contiguous subarray with the largest sum. The history of algorithms to address this problem is recounted, culminating in what is known as Kadane?s algorithm. However, that algorithm is not the algorithm Kadan...
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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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Nan Ma, Ziyi Wang, Zeyu Ba, Xinran Li, Ning Yang, Xinyi Yang and Haifeng Zhang
Crude oil resource scheduling is one of the critical issues upstream in the crude oil industry chain. It aims to reduce transportation and inventory costs and avoid alerts of inventory limit violations by formulating reasonable crude oil transportation a...
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Michael Friedrich Tröster, Markus Heinz and Leonhard Durst
Feed production and utilization are significant contributors to agricultural economic performance. Upon the market entry of new feedstuffs, livestock farmers are challenged to determine their price worthiness. In addition, transparent price formation is ...
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Michael Friedrich Tröster
Fertilizer prices have risen worldwide since the end of 2021. In this context, the value of organic fertilizers has also changed from the farmers? perspective. Hence, an open question about their value arises with an increased demand for organic fertiliz...
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Jeremy Feinstein, Quentin Ploussard, Thomas Veselka and Eugene Yan
Methods for downstream river flow prediction can be categorized into physics-based and empirical approaches. Although based on well-studied physical relationships, physics-based models rely on numerous hydrologic variables characteristic of the specific ...
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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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Aphisak Witthayapraphakorn, Sasarose Jaijit and Peerayuth Charnsethikul
A novel approach was developed that combined LP-based row generation with optimization-based sorting to tackle computational challenges posed by budget allocation problems with combinatorial constraints. The proposed approach dynamically generated constr...
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Eduardo J. Solteiro Pires, Adelaide Cerveira and José Baptista
This work addresses the wind farm (WF) optimization layout considering several substations. It is given a set of wind turbines jointly with a set of substations, and the goal is to obtain the optimal design to minimize the infrastructure cost and the cos...
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Nikoletta Gkonou, Emmanouil Nisyrios and Konstantinos Gkiotsalitis
This study develops optimal maintenance schedules for train lines, a critical endeavor ensuring the safety, efficiency, and reliability of railway networks. The study addresses the combined scheduling problem of maintenance works and crews on the railway...
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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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Cheng Liu, Zhujun Si, Jun Hua and Na Jia
The problem of two-dimensional irregular packing involves the arrangement of objects with diverse shapes and sizes within a given area. This challenge arises across various industrial sectors, where effective packing optimization can yield cost savings, ...
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