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Wongwan Jung and Daejun Chang
This study proposed a deep reinforcement learning-based energy management strategy (DRL-EMS) that can be applied to a hybrid electric ship propulsion system (HSPS) integrating liquid hydrogen (LH2) fuel gas supply system (FGSS), proton-exchange membrane ...
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Chanwoo Lee, Minsu Cha, Hyeonmin Kim and Hunhee Cho
Earthwork scheduling (during the planning phase of road construction) is an important task that directly affects the cost and time of a project. However, the current scheduling methods are not performed at a detailed level and carry forward gaps from the...
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Wilson Pérez, Punit Tulpule, Shawn Midlam-Mohler and Giorgio Rizzoni
Advanced energy management strategies (EMS) are used to control the power flow through a vehicle?s powertrain. However, the cost of high-power computational hardware and lack of a priori knowledge of future road conditions poses difficult challenges for ...
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Patcharin Buayen and Jeeraporn Werapun
The multiple knapsack problem (0/1-mKP) is a valuable NP-hard problem involved in many science-and-engineering applications. In current research, there exist two main approaches: 1. the exact algorithms for the optimal solutions (i.e., branch-and-bound, ...
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Kawser Ahmed, Kouamana Bousson and Milca de Freitas Coelho
4D flight trajectory optimization is an essential component to improve flight efficiency and to enhance air traffic capacity. this technique not only helps to reduce the operational costs, but also helps to reduce the environmental impact caused by the a...
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Pedro Andrade, Catarina Silva, Bernardete Ribeiro and Bruno F. Santos
This paper presents a Reinforcement Learning (RL) approach to optimize the long-term scheduling of maintenance for an aircraft fleet. The problem considers fleet status, maintenance capacity, and other maintenance constraints to schedule hangar checks fo...
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Johannes K. Fichte, Markus Hecher, Michael Morak and Stefan Woltran
Efficient exact parameterized algorithms are an active research area. Such algorithms exhibit a broad interest in the theoretical community. In the last few years, implementations for computing various parameters (parameter detection) have been establish...
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Wei Huang, Jianfeng Huang and Chengliang Yin
Multispeed transmissions are helpful for improvement of the economy and drivability of electric vehicles (EVs). In this paper, we propose a two-speed transmission based on dual planetary gear mechanism, in which shifts are realized by torque transfer bet...
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Di Zhu, Yadong Mei, Xinfa Xu, Junhong Chen and Yue Ben
As more and more water projects are built on rivers, the flood control operation becomes more complex. Studies on the optimal flood control operation are very important to safeguard human life and property. This study focused on optimizing the operation ...
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Chao Zhou, Na Sun, Lu Chen, Yi Ding, Jianzhong Zhou, Gang Zha, Guanglei Luo, Ling Dai and Xin Yang
The purpose of a flood control reservoir operation is to prevent flood damage downstream of the reservoir and the safety of the reservoir itself. When a single reservoir cannot provide enough storage capacity for certain flood control points downstream, ...
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