Using Reinforcement Learning to Solve a Dynamic Orienteering Problem with Random Rewards Affected by the Battery Status
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[1] D. Sauer,et al. Power curves of megawatt-scale battery storage technologies for frequency regulation and energy trading , 2023, Applied Energy.
[2] Fayez Alanazi. Electric Vehicles: Benefits, Challenges, and Potential Solutions for Widespread Adaptation , 2023, Applied Sciences.
[3] Xiongwei Wu,et al. Prediction of Remaining Useful Life and State of Health of Lithium Batteries Based on Time Series Feature and Savitzky-Golay Filter Combined with Gated Recurrent Unit Neural Network , 2023, SSRN Electronic Journal.
[4] Muhammad Shahid Mastoi,et al. An in-depth analysis of electric vehicle charging station infrastructure, policy implications, and future trends , 2022, Energy Reports.
[5] R. Gouws,et al. A Comparative Review of Lead-Acid, Lithium-Ion and Ultra-Capacitor Technologies and Their Degradation Mechanisms , 2022, Energies.
[6] Gretchen A. Macht,et al. Quantifying the Impact of Traffic on Electric Vehicle Efficiency , 2022, World Electric Vehicle Journal.
[7] Izzatul Umami,et al. Comparing Epsilon Greedy and Thompson Sampling model for Multi-Armed Bandit algorithm on Marketing Dataset , 2021, Journal of Applied Data Sciences.
[8] Ricardo Gama,et al. A Reinforcement Learning Approach to the Orienteering Problem with Time Windows , 2020, Comput. Oper. Res..
[9] Michela Longo,et al. Electric Vehicles Charging Technology Review and Optimal Size Estimation , 2020, Journal of Electrical Engineering & Technology.
[10] Daniel L. Campbell,et al. Degradation of Commercial Lithium-Ion Cells as a Function of Chemistry and Cycling Conditions , 2020 .
[11] Angel A. Juan,et al. Maximising reward from a team of surveillance drones: a simheuristic approach to the stochastic team orienteering problem , 2020 .
[12] Angel A. Juan,et al. A learnheuristic approach for the team orienteering problem with aerial drone motion constraints , 2020, Appl. Soft Comput..
[13] Djamila Ouelhadj,et al. The location routing problem using electric vehicles with constrained distance , 2020, Comput. Oper. Res..
[14] Jun Bi,et al. A data-based model for driving distance estimation of battery electric logistics vehicles , 2018, EURASIP J. Wirel. Commun. Netw..
[15] Shanhai Ge,et al. Fast charging of lithium-ion batteries at all temperatures , 2018, Proceedings of the National Academy of Sciences.
[16] Guoyuan Wu,et al. Data-driven decomposition analysis and estimation of link-level electric vehicle energy consumption under real-world traffic conditions , 2017, Transportation Research Part D: Transport and Environment.
[17] Anna Veronika Dorogush,et al. CatBoost: unbiased boosting with categorical features , 2017, NeurIPS.
[18] Jiangping Chen,et al. Climate control loads prediction of electric vehicles , 2017 .
[19] Manuel Chica,et al. Why Simheuristics? Benefits, Limitations, and Best Practices When Combining Metaheuristics with Simulation , 2017, SSRN Electronic Journal.
[20] El Houssaine Aghezzaf,et al. Solving the stochastic time-dependent orienteering problem with time windows , 2016, Eur. J. Oper. Res..
[21] Hoong Chuin Lau,et al. Orienteering Problem: A survey of recent variants, solution approaches and applications , 2016, Eur. J. Oper. Res..
[22] G. V. Avvari,et al. Optimal battery charging, Part I: Minimizing time-to-charge, energy loss, and temperature rise for OCV-resistance battery model , 2016 .
[23] Vigna Kumaran Ramachandaramurthy,et al. A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects , 2015 .
[24] Shu Zhang,et al. A priori orienteering with time windows and stochastic wait times at customers , 2014, Eur. J. Oper. Res..
[25] Suzanne van der Ster,et al. A two-stage approach to the orienteering problem with stochastic weights , 2014, Comput. Oper. Res..
[26] Pradeep Varakantham,et al. Optimization Approaches for Solving Chance Constrained Stochastic Orienteering Problems , 2013, ADT.
[27] Michel Gendreau,et al. The orienteering problem with stochastic travel and service times , 2011, Ann. Oper. Res..
[28] Mark S. Daskin,et al. The orienteering problem with stochastic profits , 2008 .
[29] Y. Yao,et al. On Early Stopping in Gradient Descent Learning , 2007 .
[30] R. Vohra,et al. The Orienteering Problem , 1987 .
[31] Huamei Li,et al. Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence , 2022, Energy Materials.
[32] D. Nikitin,et al. Influence of temperature on the performance and life cycle of storage batteries , 2021, Transportation Research Procedia.
[33] Angel A. Juan,et al. Agile optimization of a two-echelon vehicle routing problem with pickup and delivery , 2021, Int. Trans. Oper. Res..
[34] Thomas J. Böhme,et al. Hybrid Systems, Optimal Control and Hybrid Vehicles , 2017 .
[35] Tim Schwanen,et al. Differences in Energy Consumption in Electric Vehicles: An Exploratory Real-World Study in Beijing , 2017 .
[36] Christoph Herrmann,et al. Determining the Main Factors Influencing the Energy Consumption of Electric Vehicles in the Usage Phase , 2016 .
[37] K. T. Chau,et al. Pure electric vehicles , 2014 .
[38] Ji‐Guang Zhang,et al. Optimized Operating Range for Large-Format LiFePO4/Graphite Batteries , 2014 .
[39] R. Montemanni,et al. Objective function evaluation methods for the orienteering problem with stochastic travel and service times , 2014 .