Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks | Paper Citation Record

Observation 5be5013f-d098-4e4f-bde2-69e2ecb79e7f · outbound

This paper cites Directional mobile charger scheduling strategy based on adaptive dual-threshold,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Directional mobile charger scheduling strategy based on adaptive dual-threshold,

Reference 1

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Observation 7b8c1283-e669-4608-b102-1f09401a37ce · outbound

This paper cites Multi-objective uplink data transmission optimization for edge computing in UA V-assistant mobile wireless sensor networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Multi-objective uplink data transmission optimization for edge computing in UA V-assistant mobile wireless sensor networks,

Reference 2

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Observation 066a85b6-16c1-4afc-a602-5706e7b47c44 · outbound

This paper cites Energy harvesting in wireless sensor networks: A taxonomic survey,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Energy harvesting in wireless sensor networks: A taxonomic survey,

Reference 3

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Observation 7d559efc-9106-4d7b-8acc-06343829bbd6 · outbound

This paper cites Mobile charging strategy for wireless rechargeable sensor networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Mobile charging strategy for wireless rechargeable sensor networks,

Reference 4

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Observation 025f63e3-40d7-4e0e-b90a-438c60dbcd9d · outbound

This paper cites Energy harvesting techniques for wireless sensor networks: A systematic literature review,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Energy harvesting techniques for wireless sensor networks: A systematic literature review,

Reference 5

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Observation b2ead2ee-2a9e-4956-9e3a-3bcc7bb17e53 · outbound

This paper cites Charging strategy and scheduling algorithm for directional wireless power transfer in wrsns,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Charging strategy and scheduling algorithm for directional wireless power transfer in wrsns,

Reference 6

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Observation 950a5d8f-9c43-4ddf-814b-c5e755a2dacc · outbound

This paper cites An on-demand charging for connected target coverage in WRSNs using fuzzy logic and Q-learning,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks An on-demand charging for connected target coverage in WRSNs using fuzzy logic and Q-learning,

Reference 7

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Observation 2cb0347c-1bd0-4ac8-81c8-a986246dd7b7 · outbound

This paper cites Poised: Probabilistic on-demand charging scheduling for isac-assisted wrsns with multiple mobile charging vehicles,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Poised: Probabilistic on-demand charging scheduling for isac-assisted wrsns with multiple mobile charging vehicles,

Reference 8

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Observation 23f62404-6584-40c9-9222-ad79fad96316 · outbound

This paper cites Adaptive mobile chargers scheduling scheme based on AHP-MCDM for WRSN,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Adaptive mobile chargers scheduling scheme based on AHP-MCDM for WRSN,

Reference 9

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Observation f7ba9099-da65-46dd-9905-f47bb3a226e6 · outbound

This paper cites Coverage and connectivity aware energy charging mechanism using mobile charger for WRSNs,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Coverage and connectivity aware energy charging mechanism using mobile charger for WRSNs,

Reference 10

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Observation 0ea4043e-6919-46c1-b9c8-a95ab8e0704b · outbound

This paper cites Joint en- ergy loss and time span minimization for energy-redistribution-assisted charging of WRSNs with a mobile charger,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Joint en- ergy loss and time span minimization for energy-redistribution-assisted charging of WRSNs with a mobile charger,

Reference 11

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Observation 6a3ebca5-cb1a-4ab1-ac09-aacbad00546b · outbound

This paper cites A periodic multinode charging and data collection scheme with optimal traveling path in WRSNs,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks A periodic multinode charging and data collection scheme with optimal traveling path in WRSNs,

Reference 12

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Observation 776e9e9b-fa04-4534-8b16-69bfa77a6dd2 · outbound

This paper cites Energy re- distribution assisted charging of WRSNS with multiple mobile chargers having multiple base stations,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Energy re- distribution assisted charging of WRSNS with multiple mobile chargers having multiple base stations,

Reference 13

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Observation def87534-ec1b-4d9f-8332-2fdbbd309cde · outbound

This paper cites Bus network assisted drone scheduling for sustainable charging of wireless rechargeable sensor network,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Bus network assisted drone scheduling for sustainable charging of wireless rechargeable sensor network,

Reference 14

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Observation d8a4ad7f-ec2b-4ac2-bf07-a4f6f680a0c9 · outbound

This paper cites Energy-efficient directional charging strategy for wireless rechargeable sensor networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Energy-efficient directional charging strategy for wireless rechargeable sensor networks,

Reference 15

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Observation 59bd9f69-ad30-400f-87ab-2e40c8bb975e · outbound

This paper cites A deep reinforcement learning approach for online mobile charging scheduling with optimal quality of sensing coverage in wireless rechargeable sensor networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks A deep reinforcement learning approach for online mobile charging scheduling with optimal quality of sensing coverage in wireless rechargeable sensor networks,

Reference 16

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Observation f1ea57fb-e8df-49a2-b27a-232561f56f93 · outbound

This paper cites Multi-node charging planning algorithm with an energy-limited WCE in WRSNs,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Multi-node charging planning algorithm with an energy-limited WCE in WRSNs,

Reference 17

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Observation b4670c7e-5dfb-46b3-ad21-0526c76f65d2 · outbound

This paper cites The path planning scheme for joint charging and data collection in WRSNs: A multi-objective optimization method,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks The path planning scheme for joint charging and data collection in WRSNs: A multi-objective optimization method,

Reference 18

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Observation fe8fffe1-cefb-4bd8-b150-3078d8d964c8 · outbound

This paper cites Towards maximizing coverage of targets for wrsns by multiple chargers scheduling,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Towards maximizing coverage of targets for wrsns by multiple chargers scheduling,

Reference 19

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Observation ad28b533-2c65-45fd-96c2-e019d1263cae · outbound

This paper cites Scheduling of erd-assisted charging of a WRSN using a directional mobile charger,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Scheduling of erd-assisted charging of a WRSN using a directional mobile charger,

Reference 20

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Observation e632fe81-fe49-4873-9616-3d3f30fa7e57 · outbound

This paper cites Joint resource management for energy-efficient UA V- assisted SWIPT-MEC: A deep reinforcement learning approach,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Joint resource management for energy-efficient UA V- assisted SWIPT-MEC: A deep reinforcement learning approach,

Reference 21

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Observation 2efbc919-0773-4168-977f-6135c9e62f44 · outbound

This paper cites Deep reinforce- ment learning-based dynamic charging–recycling scheme for wireless rechargeable sensor networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Deep reinforce- ment learning-based dynamic charging–recycling scheme for wireless rechargeable sensor networks,

Reference 22

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Observation cdb3d93d-81ca-44f3-b5f8-3b0b703fa0c7 · outbound

This paper cites An improved deep Q-network approach for charging sequence scheduling with optimal mobile charging cost and charging efficiency in wireless rechargeable sensor networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks An improved deep Q-network approach for charging sequence scheduling with optimal mobile charging cost and charging efficiency in wireless rechargeable sensor networks,

Reference 23

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Observation df4e4d25-5c7f-4c87-b15e-12d8048b4269 · outbound

This paper cites Spatio-temporal optimization for charging scheduling in wireless rechargeable sensor networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Spatio-temporal optimization for charging scheduling in wireless rechargeable sensor networks,

Reference 24

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Observation 93620257-4284-453c-8b65-4203482be998 · outbound

This paper cites A survey on mobile charging techniques in wireless rechargeable sensor networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks A survey on mobile charging techniques in wireless rechargeable sensor networks,

Reference 25

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Observation 63967803-7a7c-41f8-9cee-6afe12d35554 · outbound

This paper cites Multi-objective Low-altitude IRS-assisted ISAC Optimization via Generative AI-enhanced Deep Reinforcement Learning.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Multi-objective Low-altitude IRS-assisted ISAC Optimization via Generative AI-enhanced Deep Reinforcement Learning

Reference 26

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Observation e3f87dad-c51a-442c-9abf-a8c0894d4752 · outbound

This paper cites Optimal charging in wireless rechargeable sensor networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Optimal charging in wireless rechargeable sensor networks,

Reference 27

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Observation c410476b-c324-484e-a154-e864f31e8373 · outbound

This paper cites A many-objective optimization charging scheme for wireless rechargeable sensor networks via mobile charging vehicles,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks A many-objective optimization charging scheme for wireless rechargeable sensor networks via mobile charging vehicles,

Reference 28

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Observation 1bbd15ea-c1ea-41e7-96c5-a35a4df09209 · outbound

This paper cites Review of inductively coupled power transfer for electric vehicle charging,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Review of inductively coupled power transfer for electric vehicle charging,

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Observation 78c7bed5-e297-48c4-9173-fabf8739ad14 · outbound

This paper cites RLC: A reinforcement learning-based charging algorithm for mobile devices,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks RLC: A reinforcement learning-based charging algorithm for mobile devices,

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Observation 26a962c9-8b79-49e4-ab75-eaa45db4385c · outbound

This paper cites UA V- enabled secure data collection and energy transfer in IoT via diffusion- model-enhanced deep reinforcement learning,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks UA V- enabled secure data collection and energy transfer in IoT via diffusion- model-enhanced deep reinforcement learning,

Reference 31

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Observation 3d96a941-95dd-4a61-9bde-e40284be12ce · outbound

This paper cites Multi- objective sparse synthesis optimization of concentric circular antenna array via hybrid evolutionary computation approach,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Multi- objective sparse synthesis optimization of concentric circular antenna array via hybrid evolutionary computation approach,

Reference 32

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Observation 7c21297f-9ba6-4ae4-a19a-9acf7fe48ebb · outbound

This paper cites Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UA V-assisted mobile edge computing,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UA V-assisted mobile edge computing,

Reference 33

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This paper cites Uav- enabled collaborative beamforming via multi-agent deep reinforcement learning,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Uav- enabled collaborative beamforming via multi-agent deep reinforcement learning,

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This paper cites Enhancing evolutionary multitasking for high-dimensional feature selection through task rele- vance evaluation and knowledge transfer,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Enhancing evolutionary multitasking for high-dimensional feature selection through task rele- vance evaluation and knowledge transfer,

Reference 35

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This paper cites Joint task offloading and resource allocation in aerial-terrestrial UA V networks with edge and fog computing for post-disaster rescue,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Joint task offloading and resource allocation in aerial-terrestrial UA V networks with edge and fog computing for post-disaster rescue,

Reference 36

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Observation 6d6ba1e7-c7bc-455c-b4e3-a21828b1a918 · outbound

This paper cites Collaborative ground-space communications via evolutionary multi-objective deep reinforcement learning,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Collaborative ground-space communications via evolutionary multi-objective deep reinforcement learning,

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This paper cites Task delay and energy consumption minimization for low-altitude MEC via evolutionary multi-objective deep reinforcement learning,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Task delay and energy consumption minimization for low-altitude MEC via evolutionary multi-objective deep reinforcement learning,

Reference 38

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Observation 6d846b06-74b8-438e-a8fa-409fccb30a12 · outbound

This paper cites Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method

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Observation fb8e41cf-9aec-4038-81f8-2c63c773990d · outbound

This paper cites Multi- objective sparse synthesis optimization of concentric circular antenna array via hybrid evolutionary computation approach,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Multi- objective sparse synthesis optimization of concentric circular antenna array via hybrid evolutionary computation approach,

Reference 40

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Observation 55740298-8191-4382-a908-554d54c6707b · outbound

This paper cites Aerial reliable collaborative communications for terrestrial mobile users via evolutionary multi-objective deep reinforcement learning,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Aerial reliable collaborative communications for terrestrial mobile users via evolutionary multi-objective deep reinforcement learning,

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This paper cites Information-aware driven dynamic LEO-RAN slicing algorithm joint with communication, computing, and caching,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Information-aware driven dynamic LEO-RAN slicing algorithm joint with communication, computing, and caching,

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Observation 7f258f0f-5cde-49de-8912-23cddc9526df · outbound

This paper cites Reliable and energy-efficient communications via collaborative beamforming for UA V networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Reliable and energy-efficient communications via collaborative beamforming for UA V networks,

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Observation ddce70ed-c2fc-49ad-976e-8f923e3c81e6 · outbound

This paper cites Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking

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Observation 971f2d06-63ea-4d9a-b25c-4c2b36d12e28 · outbound

This paper cites Exploring multi-agent dynamics for generative AI and large language models in mobile edge networks,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Exploring multi-agent dynamics for generative AI and large language models in mobile edge networks,

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Observation f46ac7f7-780c-435e-894c-97cae0fe3579 · outbound

This paper cites Time-varying multi-objective smart home appliances scheduling using fuzzy adaptive dynamic SPEA2 algorithm,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Time-varying multi-objective smart home appliances scheduling using fuzzy adaptive dynamic SPEA2 algorithm,

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This paper cites Euclidean distance estimation in incomplete datasets,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Euclidean distance estimation in incomplete datasets,

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This paper cites Gaussian kernel opti- mization for pattern classification,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Gaussian kernel opti- mization for pattern classification,

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This paper cites Dynamic task planning for multi-arm apple-harvesting robots using LSTM-PPO reinforcement learning algorithm,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Dynamic task planning for multi-arm apple-harvesting robots using LSTM-PPO reinforcement learning algorithm,

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Observation e8e5a9ea-2a25-4ff1-990f-b694a9c306d6 · outbound

This paper cites Charging UA V deployment for improving charging performance of wireless rechargeable sensor networks via joint optimization approach,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Charging UA V deployment for improving charging performance of wireless rechargeable sensor networks via joint optimization approach,

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This paper cites An improved DDPG algorithm based on evolution-guided transfer in reinforcement learning,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks An improved DDPG algorithm based on evolution-guided transfer in reinforcement learning,

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This paper cites Chaos-based reinforcement learning with TD3,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks Chaos-based reinforcement learning with TD3,

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This paper cites UA V 3D online track planning based on improved SAC algorithm,.

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks UA V 3D online track planning based on improved SAC algorithm,

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