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检索条件"主题词=neural combinatorial optimization"
35 条 记 录,以下是11-20 订阅
排序:
Online Vehicle Routing With neural combinatorial optimization and Deep Reinforcement Learning
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2019年 第10期20卷 3806-3817页
作者: Yu, James J. Q. Yu, Wen Gu, Jiatao Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen 518055 Peoples R China Natl Polytech Inst CINVESTAV IPN Dept Automat Control Mexico City 07360 DF Mexico Univ Hong Kong Dept Elect & Elect Engn Hong Kong Peoples R China
Online vehicle routing is an important task of the modern transportation service provider. Contributed by the ever-increasing real-time demand on the transportation system, especially small-parcel last-mile delivery r... 详细信息
来源: 评论
Multi-Objective neural Evolutionary Algorithm for combinatorial optimization Problems
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IEEE TRANSACTIONS ON neural NETWORKS AND LEARNING SYSTEMS 2023年 第4期34卷 2133-2143页
作者: Shao, Yinan Lin, Jerry Chun-Wei Srivastava, Gautam Guo, Dongdong Zhang, Hongchun Yi, Hu Jolfaei, Alireza Alibaba Inc Hangzhou 310052 Peoples R China Western Norway Univ Appl Sci N-5063 Bergen Norway Brandon Univ Dept Math & Comp Sci Brandon MB R7A 6A9 Canada China Med Univ Res Ctr Interneural Comp Taichung 40402 Taiwan Asia Univ Coll Informat & Elect Engn Taichung 413 Taiwan Macquarie Univ Dept Comp Sydney NSW 2109 Australia
There has been a recent surge of success in optimizing deep reinforcement learning (DRL) models with neural evolutionary algorithms. This type of method is inspired by biological evolution and uses different genetic o... 详细信息
来源: 评论
A neural combinatorial Approach for School Bus Routing System optimization
A Neural Combinatorial Approach for School Bus Routing Syste...
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作者: Qian, Leren Northeastern University
学位级别:Ph.D., Doctor of Philosophy
Maintaining a fleet of buses to transport students to school is a major expense for school districts. An efficient bus routing system can greatly reduce the time and cost associated with transportation, while also ens... 详细信息
来源: 评论
Reinforcement Learning for Efficient Drone-Assisted Vehicle Routing
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APPLIED SCIENCES-BASEL 2025年 第4期15卷 2007-2007页
作者: Bogyrbayeva, Aigerim Dauletbayev, Bissenbay Meraliyev, Meraryslan SDU Univ Dept Comp Sci Kaskelen 040900 Kazakhstan
Many exact algorithms, heuristics, and metaheuristics have been proposed to solve the Vehicle Routing Problem with Drones, which involves using a fleet of trucks and drones to fulfil customer orders in last-mile deliv... 详细信息
来源: 评论
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
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COMPUTERS & INDUSTRIAL ENGINEERING 2025年 200卷
作者: Khadivi, Maziyar Charter, Todd Yaghoubi, Marjan Jalayer, Masoud Ahang, Maryam Shojaeinasab, Ardeshir Najjaran, Homayoun Univ Victoria Dept Mech Engn Victoria BC V8P 5C2 Canada Univ Victoria Dept Elect & Comp Engn Victoria BC V8P 5C2 Canada Univ Turku Dept Mech & Mat Engn Turku 20014 Finland
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 the machine schedules leads to significant reduction in o... 详细信息
来源: 评论
Improving generalization of neural Vehicle Routing Problem solvers through the lens of model architecture
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neural NETWORKS 2025年 187卷 107380页
作者: Xiao, Yubin Wang, Di Wu, Xuan Wu, Yuesong Li, Boyang Du, Wei Wang, Liupu Zhou, You Jilin Univ Coll Comp Sci & Technol Minist Educ Key Lab Symbol Computat & Knowledge Engn Changchun 130012 Peoples R China Nanyang Technol Univ Joint NTU UBC Res Ctr Excellence Act Living Elderl Singapore 639956 Singapore Nanyang Technol Univ WeBank NTU Joint Res Inst Fintech Singapore 639956 Singapore Nanyang Technol Univ Coll Comp & Data Sci Singapore 639956 Singapore
neural models produce promising results when solving Vehicle Routing Problems (VRPs), but may often fall short in generalization. Recent attempts to enhance model generalization often incur unnecessarily large trainin... 详细信息
来源: 评论
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems
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IEEE TRANSACTIONS ON neural NETWORKS AND LEARNING SYSTEMS 2024年 第11期35卷 15279-15291页
作者: Li, Jingwen Ma, Yining Cao, Zhiguang Wu, Yaoxin Song, Wen Zhang, Jie Chee, Yeow Meng Sichuan Normal Univ Dept Comp Sci Chengdu 610101 Peoples R China Natl Univ Singapore Dept Ind Syst Engn & Management Coll Design & Engn Singapore 119077 Singapore Singapore Management Univ Sch Comp & Informat Syst Singapore 188065 Singapore Eindhoven Univ Technol Fac Ind Engn & Innovat Sci NL-5600 MB Eindhoven Netherlands Shandong Univ Inst Marine Sci & Technol Qingdao 266237 Peoples R China Nanyang Technol Univ Sch Comp Sci & Engn Singapore 639798 Singapore
While the encoder-decoder structure is widely used in the recent neural construction methods for learning to solve vehicle routing problems (VRPs), they are less effective in searching solutions due to deterministic f... 详细信息
来源: 评论
Machine Learning to Solve Vehicle Routing Problems: A Survey
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2024年 第6期25卷 4754-4772页
作者: Bogyrbayeva, Aigerim Meraliyev, Meraryslan Mustakhov, Taukekhan Dauletbayev, Bissenbay SDU Univ Dept Comp Sci Kaskelen 040900 Kazakhstan
This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the machine learning and operations res... 详细信息
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Learning Heuristics for combinatorial optimization Problems on K-Partite Hypergraphs  21st
Learning Heuristics for Combinatorial Optimization Problems ...
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21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR)
作者: Zouitine, Mehdi Berjaoui, Ahmad Lagnoux, Agnes Pellegrini, Clement Rachelson, Emmanuel IRT St Exupery Toulouse France Univ Toulouse Inst Math Toulouse CNRS UMR5219 Toulouse France UT2J F-31058 Toulouse France UT3 Toulouse France ISAE SUPAERO Toulouse France
Recently, deep neural networks have demonstrated remarkable performance in addressing combinatorial optimization challenges. The expressive power of graph neural networks combined with Reinforcement Learning (RL) enab... 详细信息
来源: 评论
Fragmentation-Aware VNF Placement: A Deep Reinforcement Learning Approach  59
Fragmentation-Aware VNF Placement: A Deep Reinforcement Lear...
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59th Annual IEEE International Conference on Communications (IEEE ICC)
作者: Mohamed, Ramy Avgeris, Marios Leivadeas, Aris Lambadaris, Ioannis Carleton Univ Dept Syst & Comp Engn Ottawa ON Canada Ecole Technol Super Dept Software & IT Engn Montreal PQ Canada
In this paper we address the challenge of efficiently deploying Virtual Network Functions (VNFs) in network infrastructures. This is particularly crucial when facing resource fragmentation, where available resources a... 详细信息
来源: 评论