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检索条件"主题词=neural combinatorial optimization"
34 条 记 录,以下是21-30 订阅
排序:
Online VNF Placement using Deep Reinforcement Learning and Reward Constrained Policy optimization
Online VNF Placement using Deep Reinforcement Learning and R...
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IEEE International Mediterranean Conference on Communications and Networking (IEEE MeditCom)
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
Appropriate deployment of Virtual Network Functions (VNFs) within the network infrastructure to optimize resource utilization, while fulfilling performance criteria, is critical to Network Function Virtualization (NFV... 详细信息
来源: 评论
A Reinforcement Learning Method for Optical Thin-Film Design
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IEICE TRANSACTIONS ON ELECTRONICS 2022年 第2期E105C卷 95-101页
作者: Jiang, Anqing Yoshie, Osamu Waseda Univ Grad Sch Informat Prod & Syst Kitakyushu 8080135 Japan
Machine learning, especially deep learning, is dramatically changing the methods associated with optical thin-film inverse design. The vast majority of this research has focused on the parameter optimization (layer th... 详细信息
来源: 评论
A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2022年 第7期23卷 8704-8714页
作者: Bogyrbayeva, Aigerim Jang, Sungwook Shah, Ankit Jang, Young Jae Kwon, Changhyun Univ S Florida Dept Ind & Management Syst Engn Tampa FL 33620 USA Korea Adv Inst Sci & Technol Dept Ind & Syst Engn Daejeon 34141 South Korea
This paper proposes a reinforcement learning approach for nightly offline rebalancing operations in free-floating electric vehicle sharing systems (FFEVSS). Due to sparse demand in a network, FFEVSS requires relocatio... 详细信息
来源: 评论
Simultaneous task and energy planning using deep reinforcement learning
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INFORMATION SCIENCES 2022年 607卷 931-946页
作者: Wang, Di Hu, Mengqi Weir, Jeffery D. Univ Illinois Dept Mech & Ind Engn Chicago IL 60607 USA Air Force Inst Technol Dept Operat Sci Wright Patterson AFB OH 45433 USA
To improve energy awareness of unmanned autonomous vehicles, it is critical to co optimize task planning and energy scheduling. To the best of our knowledge, most of the existing task planning algorithms either ignore... 详细信息
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D2A: Operating a Service Function Chain Platform With Data-Driven Scheduling Policies
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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2022年 第3期19卷 2839-2853页
作者: Kraemer, Patrick Diederich, Philip Kraemer, Corinna Pries, Rastin Kellerer, Wolfgang Blenk, Andreas Tech Univ Munich Chair Commun Networks D-80333 Munich Germany Deutsch Sparkassenverlag GmbH D-70563 Stuttgart Germany Nokia Bell Labs Nokia Strategy & Technol D-81541 Munich Germany Siemens AG Corp Technol D-80333 Munich Germany
Realizing Service Function Chaining with a micro-service-based architecture results in an increased number of computationally cheap Virtual Network Functions (VNFs). Pinning cheap VNFs to dedicated CPU cores can waste... 详细信息
来源: 评论
Graph Q-learning Assisted Ant Colony optimization for Vehicle Routing Problems with Time Windows
Graph Q-learning Assisted Ant Colony Optimization for Vehicl...
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Yue, Peng Liu, Shiqing Jin, Yaochu Northeastern Univ Shenyang Liaoning Peoples R China Bielefeld Univ Bielefeld Germany
Vehicle routing problem with time windows (VRPTW) is a typical class of constrained path planning problems in the field of combinatorial optimization. VRPTW considers a delivery task for a given set of customers with ... 详细信息
来源: 评论
An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems
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KNOWLEDGE-BASED SYSTEMS 2024年 291卷
作者: Liu, Shiqing Yan, Xueming Jin, Yaochu Bielefeld Univ Fac Technol Nat Inspired Comp & Engn D-33619 Bielefeld Germany Guangdong Univ Foreign Studies Sch Informat Sci & Technol Guangzhou 510006 Peoples R China Westlake Univ Sch Engn Hangzhou 310030 Peoples R China
In recent years, there has been a notable surge in research on machine learning techniques for combinatorial optimization. It has been shown that learning -based methods outperform traditional heuristics and mathemati... 详细信息
来源: 评论
neural Order-First Split-Second Algorithm for the Capacitated Vehicle Routing Problem  5th
Neural Order-First Split-Second Algorithm for the Capacitate...
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4th International Conference on optimization and Learning (OLA)
作者: Yaddaden, Ali Harispe, Sebastien Vasquez, Michel Univ Montpellier IMT Mines Ales EuroMov Digital Hlth Mot Ales France
Modern machine learning, including deep learning models and reinforcement learning techniques, have proven effective for solving difficult combinatorial optimization problems without relying on handcrafted heuristics.... 详细信息
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Deep Reinforcement Learning Based Container Cluster Placement Strategy in Edge Computing Environment
Deep Reinforcement Learning Based Container Cluster Placemen...
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IEEE Global Communications Conference (GLOBECOM)
作者: Chen, Zhuo Zhu, Bowen Chongqing Univ Technol Coll Comp Sci & Engn Chongqing Peoples R China
Container-based virtualization technology has been increasingly used in edge clouds recently due to its advantages of lighter resource occupation, faster startup capability, and better resource utilization efficiency.... 详细信息
来源: 评论
An integrated neural combinatorial Tabu Search for optimizing school bus scheduling with bell time
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TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES 2024年 164卷
作者: Qian, Leren Melachrinoudis, Emanuel Northeastern Univ Dept Mech & Ind Engn Boston MA 02115 USA
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