Výsledky vyhľadávania - "neural combinatorial optimization"

Neural combinatorial optimization: A tutorial Autor Angioni, Davide, Archetti, Claudia, Speranza, M. Grazia

“… This paper presents neural combinatorial optimization (NCO) as a framework for constructing functions that work as heuristics for CO problems…”
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Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning Autor Yu, James J. Q., Yu, Wen, Gu, Jiatao

“… To develop routes with minimal time, in this paper, we propose a novel deep reinforcement learning-based neural combinatorial optimization strategy…”
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Enhancing neural combinatorial optimization by progressive training paradigm Autor Cao, Zhi, Wu, Yaoxin, Hou, Yaqing, Ge, Hongwei

“…Neural Combinatorial Optimization (NCO) methods have garnered considerable attention, due to their effectiveness in automatic algorithm design for solving combinatorial optimization problems…”
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Neural Combinatorial Optimization with Explanation Autor Liu, Zhaoyi, Duan, Qianqian

“…Different from traditional operational research optimization algorithms, Deep Learning can solve combinatorial optimization problems in real time and has been…”
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Neural combinatorial optimization for multi-rendezvous mission design Autor López Rivera, Antonio, Naeije, Marc

“…•Applied Neural Combinatorial Optimization to plan low-thrust multi-target rendezvous sequences for Active Debris Removal missions…”
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Neural Combinatorial Optimization for Multiobjective Task Offloading in Mobile Edge Computing Autor Xiao, Xiang-Jie, Wang, Yong, Huang, Pei-Qiu, Wang, Kezhi

“… When the preference changes, the trained model may not perform well and needs to be retrained. To address this issue, we propose a neural combinatorial optimization method that combines an encoder-decoder model with reinforcement learning…”
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Neural combinatorial optimization with reinforcement learning in industrial engineering: a survey Autor Chung, K. T., Lee, C. K. M., Tsang, Y. P.

“…In recent trends, machine learning is widely used to support decision-making in various domains and industrial operations. Because of the increasing complexity…”
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A Learning-Based Assembly Sequence Planning Method Using Neural Combinatorial Optimization With Satisfactory Generalization Ability Autor Hou, Ruiming, Xu, Sheng, Yang, Chenguang, Duan, Jianghua, Wu, Xinyu, Xu, Tiantian

“… Consequently, to further improve the generalization ability and improve the performance of the sequence optimization, a neural combinatorial optimization algorithm combined with a self-learning…”
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Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization Autor Wang, Tianze, Payberah, Amir H., Vlassov, Vladimir

“…Neural combinatorial optimization aims to use neural networks to speed up the solving process of combinatorial optimization problems, i.e…”
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A hybrid neural combinatorial optimization framework assisted by automated algorithm design Autor Ma, Liang, Hao, Xingxing, Zhou, Wei, He, Qianbao, Zhang, Ruibang, Chen, Li

“…In recent years, the application of Neural Combinatorial Optimization (NCO) techniques in Combinatorial Optimization (CO…”
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A Privacy-Preserving Service Framework for Traveling Salesman Problem-Based Neural Combinatorial Optimization Network Autor Liu, Jiao, Li, Xinghua, Liu, Ximeng, Tang, Jiawei, Ma, Siqi, Weng, Jian

“… Neural network has shown great potential in combinatorial optimization tasks. However, it faces privacy leakage when a TSP neural combinatorial optimization network…”
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Neural Combinatorial Optimization for Energy-Efficient Offloading in Mobile Edge Computing Autor Jiang, Qingmiao, Zhang, Yuan, Yan, Jinyao

“…Computation offloading is an efficient approach to reduce the energy consumption of a mobile device (MD). In this paper, we consider the multi-user offloading…”
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Distance-Based Neural Combinatorial Optimization for Context-based Route Planning Autor Hamzehi, Sascha, Bogenberger, Klaus, Kaltenhauser, Bernd, Tian, Jilei, Chin, Alvin, Cao, Yang

“…Platform-based large-scale journey planning of autonomous vehicles and context-sensitive route planning applications require new scalable approaches in order…”
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Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste Autor Gannouni, Aymen, Samsonov, Vladimir, Behery, Mohamed, Meisen, Tobias, Lakemeyer, Gerhard

“… Solving such problems often relies on methods from the Operations Research (OR) field. Recently, Neural Combinatorial Optimization (NCO…”
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Learning to reschedule platforms: A graph neural network based deep reinforcement learning method for the train platforming and rescheduling problem Autor Zhang, Hongxiang, D’Ariano, Andrea, Zhu, Yongqiu, Wu, Yaoxin, Hu, Liuyang, Lu, Gongyuan

“…•A novel deep reinforcement learning framework for the Train Platforming and Rescheduling Problem.•Integrating the microscopic simulation into the deep…”
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Machine Learning to Solve Vehicle Routing Problems: A Survey Autor Bogyrbayeva, Aigerim, Meraliyev, Meraryslan, Mustakhov, Taukekhan, Dauletbayev, Bissenbay

“…This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great…”
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Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Autor Khadivi, Maziyar, Charter, Todd, Yaghoubi, Marjan, Jalayer, Masoud, Ahang, Maryam, Shojaeinasab, Ardeshir, Najjaran, Homayoun

“…Machine scheduling aims to optimally assign jobs to a single or a group of machines while meeting manufacturing rules as well as job specifications. Optimizing…”
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Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems Autor Shao, Yinan, Lin, Jerry Chun-Wei, Srivastava, Gautam, Guo, Dongdong, Zhang, Hongchun, Yi, Hu, Jolfaei, Alireza

“…There has been a recent surge of success in optimizing deep reinforcement learning (DRL) models with neural evolutionary algorithms. This type of method is…”
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Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization Autor Kruse, Georg, Coelho, Rodrigo, Rosskopf, Andreas, Wille, Robert, Lorenz, Jeanette Miriam

“…Advancements in Quantum Computing (QC) and Neural Combinatorial Optimization (NCO) represent promising steps in tackling complex computational challenges…”
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Learning Feature Embedding Refiner for Solving Vehicle Routing Problems Autor Li, Jingwen, Ma, Yining, Cao, Zhiguang, Wu, Yaoxin, Song, Wen, Zhang, Jie, Chee, Yeow Meng

“…While the encoder-decoder structure is widely used in the recent neural construction methods for learning to solve vehicle routing problems (VRPs), they are…”
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