Suchergebnisse - Search tree algorithm

Adaptive Design of Alloys for CO2 Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search Algorithm von Song, Zhilong, Zhou, Qionghua, Lu, Shuaihua, Dieb, Sae, Ling, Chongyi, Wang, Jinlan

“… This framework integrates automatic density functional theory (DFT) calculations with an improved Monte Carlo tree search via reinforcement learning algorithm (MCTS-PG …”
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An Exact A-Based Tree Search Algorithm for TSP With Sequence-and-Load Dependent Risk von Cha, Hyungjoo, Lee, Chanho, Xie, Chi, Lu, Qing-Chang, Eun, Joonyup, Cheong, Taesu

“… The hazardous material transportation requires extensive care owing to the disastrous consequences of accidents, such as chemical spills or radioactive …”
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Harnessing machine learning to guide phylogenetic-tree search algorithms von Azouri, Dana, Abadi, Shiran, Mansour, Yishay, Mayrose, Itay, Pupko, Tal

“… In this proof-of-concept study, we train a machine-learning algorithm over an extensive cohort of empirical data to predict the neighboring trees that increase the likelihood, without actually …”
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An anytime tree search algorithm for the 2018 ROADEF/EURO challenge glass cutting problem von Libralesso, Luc, Fontan, Florian

“… •Winner algorithm of the final phase of the 2018 ROADEF/EURO challenge.•New generic anytime tree search algorithm …”
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A data-driven CUF-based beam model based on the tree-search algorithm von Hui, Yanchuan, Bai, Xiaowei, Yang, Yichen, Yang, Jie, Huang, Qun, Liu, Xiao, Huang, Wei, Giunta, Gaetano, Hu, Heng

“… (amount of gauss points) and the number of iterations. Secondly, the tree-search algorithm is employed to build the hierarchical database, which speeds up the data searching efficiency …”
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An improved Monte Carlo tree search algorithm with dynamic classification for multi-spacecraft multi-target allocation von Ye, Ji, Zhang, Yao, Chen, Yu-Jun

“… This paper proposes a solution framework based on the Monte Carlo Tree Search algorithm for the multi-spacecraft multi-target allocation problem in the active debris removal mission …”
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Enhanced Monte‐Carlo tree search for dynamic flexible job shop scheduling with transportation time constraints von He, Zhou, Tang, Biao, Gu, Chan, Ran, Ning

“… ‐Carlo tree search based algorithm is proposed to solve the dynamic flexible job shop scheduling problem such that the makespan is minimized …”
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A tree search algorithm for uncertainty-considered consecutive discharging and loading operations between ship and offshore platform von Zhou, Chenhao, Yuan, Mengxue, Zhang, Jingwen, Zhang, Wei

“… with the objective of minimizing the ship turnaround time. Then, a tabu-based tree search algorithm allowing a look-ahead at future states is developed …”
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A Monte-Carlo tree search algorithm for the flexible job-shop scheduling in manufacturing systems von Saqlain, M., Ali, S., Lee, J. Y.

“… time of all operations, known as Makespan, is a big challenging issue. To address this issue, we proposed a Monte Carlo Tree Search-based flexible job-shop …”
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Three-phase power flow using binary tree search algorithm for unbalanced distribution networks von Yang, Nien-Che, Zeng, Song-Ting, Tseng, Wei-Chih

“… •Binary tree (BT) three-phase (3Φ) power flow method.•Current-injection technique …”
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PPB-MCTS: A novel distributed-memory parallel partial-backpropagation Monte Carlo tree search algorithm von Naderzadeh, Yashar, Grosu, Daniel, Chinnam, Ratna Babu

“… Monte-Carlo Tree Search (MCTS) is an adaptive and heuristic tree-search algorithm designed to uncover sub-optimal actions at each decision-making point …”
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A tree search algorithm towards solving Ising formulated combinatorial optimization problems von Cen, Yunuo, Das, Debasis, Fong, Xuanyao

“… To overcome this problem, this paper proposes a heuristic search algorithm by expanding search space from a Markov chain to a recursive depth limited tree based on SA, where the parent and child …”
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Hazelnut tree search algorithm: a nature-inspired method for solving numerical and engineering problems von Emami, Hojjat

“… In this paper, a novel nature-inspired optimization algorithm, hazelnut tree search (HST …”
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Deep learning inspired routing in ICN using Monte Carlo Tree Search algorithm von Dutta, Nitul, Patel, Shobhit K., Samusenkov, Vadim, D., Vigneswaran

“… Information Centric Networking (ICN) provides caching strategies to improve network performance based on consumer demands from the intermediate routers. It …”
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A self-learning Monte Carlo tree search algorithm for robot path planning von Li, Wei, Liu, Yi, Ma, Yan, Xu, Kang, Qiu, Jiang, Gan, Zhongxue

“… This paper proposes a self-learning Monte Carlo tree search algorithm (SL-MCTS), which has the ability to continuously improve its problem-solving ability in single-player scenarios …”
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A tree search algorithm for the container loading problem von Liu, Sheng, Tan, Wei, Xu, Zhiyuan, Liu, Xiwei

“… •Our algorithm is a tree search one based on wall-building approach.•It satisfies the support, orientation and guillotine cutting constraints …”
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Variable Action Set-Based Monte Carlo Tree Search Algorithm for AAV Autonomous Collision Avoidance von Xu, Fulong, Li, Bo

“… Many studies modeled this problem as a Markov decision process (MDP) and adopted intelligent methods such as reinforcement learning and Monte Carlo Tree Search (MCTS …”
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Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning von Hayes, Conor F., Reymond, Mathieu, Roijers, Diederik M., Howley, Enda, Mannion, Patrick

“… In many risk-aware and multi-objective reinforcement learning settings, the utility of the user is derived from a single execution of a policy. In these …”
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Monte Carlo Tree Search Algorithm for the Euclidean Steiner Tree Problem von Bereta, Michał

“… This study is concerned with a novel Monte Carlo Tree Search algorithm for the problem of minimal Euclidean Steiner tree on a plane …”
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An Efficient Optimization of the Monte Carlo Tree Search Algorithm for Amazons von Zhang, Lijun, Zou, Han, Zhu, Yungang

“… In this paper, we propose an efficient optimization of the Monte Carlo tree search (MCTS) algorithm for Amazons, fusing the ‘Move Groups’ strategy and the ‘Parallel Evaluation …”
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