Scheduling

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Period ending 2026-09-21

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Optimal Scheduling

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Scheduling

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Delay

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248 papers

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Optimizing Appliance Scheduling for Solar Energy Management Using Metaheuristic Algorithms
Jun 11, 2026Hiba Ahmed, Alexander E. I. Brownlee, Jason Adair +1Scheduling Hvac Control
SupraSNN: Exploiting Synapse-Level Parallelism in Spiking Neural Network Accelerators through Co-Optimized Mapping and Scheduling
Jun 11, 2026Seyed Sadra Ghavami, Mohammad Hossein Nikkhah, Mohammad Rasoul Roshanshah +1Spiking Neural Networks Synaptic Plasticity
Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling
Jun 11, 2026Kaito Baba, Evripidis Bampis, Giorgos MitropoulosApproximation Algorithms Approximation
DrivingAgent: Design and Scheduling Agents for Autonomous Driving Systems
Jun 10, 2026Zhongyu Xia, Wenhao Chen, Yongtao Wang +1Autonomous Driving Modular Agentic Framework
Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics
Jun 10, 2026Igor ItkinHallucination Detection Hallucinations
SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation
Jun 9, 2026Joschka Birk, Frank Gaede, Anna Hallin +3Autoregressive Transformers Autoregressive Model
Importance-Aware Scheduling for High-Dimensional Hyperparameter Optimization
Jun 8, 2026Ruinan Wang, Ian Nabney, Mohammad GolbabaeeHyperparameter Optimization Optimal Scheduling
MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics
Jun 8, 2026Ahmet Gunhan Aydin, Elif Tugce CeranMulti-Robot Systems Optimal Scheduling
Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals
Jun 6, 2026Lingkai Kong, Hezi Jiang, Andrew Ma +3Adaptive Sampling Covariate Shift
SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal
Jun 5, 2026Rafsan Jany, Md. Hamjajul Ashmafee, Iqram Hussain +1Sleep Stage Classification Delay
Terastal: Layer-Variant-based Scheduling for Real-Time Multi-DNN Workloads on Heterogeneous Accelerators
Jun 5, 2026Sing-Yao Wu, Fengshuo Song, Eli BozorgzadehInference Workloads Accelerator
When Mean Age Is Not Enough: Distribution-Aware Scheduling for Networked LQR Control
Jun 3, 2026Abdullah Y. Etcibasi, C. Emre Koksal, Eylem EkiciLinear Quadratic Regulator Networked Systems
EvalStop: Using World Feedback to Detect and Correct Reward Overoptimization in Multi-Tenant RLHF Platforms
Jun 2, 2026Guilin Zhang, Chuanyi Sun, Kai Zhao +3Reinforcement Learning From Human Feedback Optimal Scheduling
AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling
Jun 2, 2026Maxime Elkael, Michele Polese, Yunseong Lee +2Wireless Resource Allocation Low-Latency Systems
Short-Term Synaptic Plasticity Stabilizes Goal-Conditioned Dynamics in a PFC-Inspired Reservoir Model for Multistep Goal-Directed Action Planning
Jun 2, 2026Jin Nakamura, Yuichi KatoriSynaptic Plasticity Human Visual Cortex
Token Budgets: An Empirical Catalog of 63 LLM-Agent Budget-Overrun Incidents, with an Affine-Typed Rust Mitigation as a Case Study
Jun 2, 2026Sajjad KhanToken Budgets Runtime Enforcement
SPOQ: Specialist Orchestrated Queuing for Multi-Agent Software Engineering
Jun 2, 2026Royce Carbowitz, Dheeraj KumarSoftware Engineering Multi-Agent Systems
MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency
Jun 2, 2026Saptarshi Mitra, Yifan Zhang, Rachid Karami +5Workload Scheduling
DriftSched: Adaptive QoS-Aware Scheduling under Runtime Token Drift for Multi-Tenant GPU Inference
Jun 2, 2026Kathiravan PalaniappanInference Workloads Optimal Scheduling
S3TS: Stochastic Scenario-Structured Tree Search for Advanced Planning Under Uncertainty
Jun 1, 2026Fabio Pavirani, Bert Claessens, Pierre Pinson +1Demand Response Power Systems
Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler
Jun 1, 2026Dimitris Oikonomou, Nicolas LoizouStochastic Gradient Descent Sharpness-Aware Minimization
Towards Optimal Robustness in Learning-Augmented Paging
May 31, 2026Peng Chen, Hailiang Zhao, Xueyan Tang +2Learning-Augmented Algorithms Optimality
Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts
May 31, 2026Ya Shen, Gang Chen, Hui Ma +1Scheduling Deadlines
Online Packet Scheduling with Deadlines and Learning
May 30, 2026Gianmarco Genalti, Achraf Azize, Vianney PerchetNear-Optimal Regret Guarantees Deadlines
Extending Causal Metamodeling to a non-Markovian Queue
May 30, 2026Pracheta Amaranath, Anant Bhide, David Jensen +1Stochastic Delays Bayesian Networks
D $^3$ : Dynamic Directional Graph-Constrained Data Scheduling for LLM Training
May 29, 2026Yuanjian Xu, Jianing Hao, Guang Zhang +1Optimal Scheduling Scheduling
Delayed Repression and Emergent Instability in Adaptive Multi-Agent Systems
May 28, 2026Igor ItkinMulti-Agent Systems Replicator Equations
Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling
May 28, 2026Shijie Cao, Yuan Yuan, Jing LiuScheduling Modular Agentic Framework
Bridging the Sim-to-Real Gap in Reinforcement Learning-Based Industrial Dispatching through Execution Semantics
May 27, 2026Jonathan Hoss, Noah KlarmannScheduling Sim-To-Real Gap
Decision-focused learning for optimal PV-Battery scheduling
May 27, 2026Joris Depoortere, Hussain Kazmi, Johan DriesenPhotovoltaic Energy Forecasting
BPPO: Binary Prefix Policy Optimization for Efficient GRPO-Style Reasoning RL with Concise Responses
May 27, 2026Qingfei Zhao, Huan Song, Shuyu Tian +2Group Relative Policy Optimization Code Completion
SANTS: A State-Adaptive Scheduler for World Action Models
May 27, 2026Yirui Sun, Guangyu Zhuge, Keliang Liu +4Efficient World-Action Model World Models
DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents
May 26, 2026Shijie Cao, Yuan Yuan, Jing LiuScheduling Agentic Optimization
Accelerating Reinforcement Learning Training Using Simulation Surrogate Models
May 26, 2026Mohammadmahdi Ghasemloo, David J. Eckman, Yaxian LiSimulation-Based Reinforcement Learning Deep Reinforcement Learning
STARIXNet: Multivariate and Multi-attribute Deep Learning Approach to Real-Time Resource Allocation in Cloud Platforms
May 25, 2026Ahmed Abdulaal, Maruf Aytekin, Thilaga kumaran Srinivasan +1Rate Scaling Cloud
Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering
May 25, 2026Maxim Mednikov, Oren GalMulti-Agent Reinforcement Learning Particle Filters
Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series
May 25, 2026Ren Fujiwara, Yasuko Matsubara, Yasushi SakuraiDelay Mixture Models
Action-Prior Denoising for Smooth Real-Time Chunking
May 25, 2026Dongyang Liu, Zhaowen Zheng, Yu Sun +3Action Chunks Chunk
SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
May 25, 2026Zhongling Xu, Shunan Zheng, Wei WangLarge Language Model Routing Token Budgets
Personalized Federated Learning by Energy-Efficient UAV Communications
May 24, 2026Shiqian Guo, Jianqing Liu, Beatriz LorenzoFederated Learning Wireless Resource Allocation
Learning Treatment Effects during Resource Allocation via Priority-Queue Randomization
May 24, 2026JungHo Lee, Johnna Sundberg, Pim Welle +1Prioritization Bayesian Experimental Design
Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays
May 22, 2026Ting Hu, Luanda Cai, Emmanouil-Vasileios Vlatakis-GkaragkounisBandits Delay
Learning-Augmented Online Scheduling with Parsimonious Preemption
May 22, 2026Mugen Blue, Sungjin Im, Alexander LindermayrOptimal Scheduling Learning-Augmented Algorithms
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
May 21, 2026Yu Tang, Muhammad Zakwan, Efe Balta +2Stochastic Delays Mixed-Integer Programming
Planning, Scheduling, and Behavior in EV Charging Systems: A Critical Survey and Trilemma Framework
May 20, 2026Peiyan Xiao, Yuheng Li, Ayan Mukhopadhyay +3Electric Vehicles Networked Systems
Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos
May 20, 2026Lucas Fernandez SarmientoDropout Scaling Laws
Privacy-Preserving Distributed Optimization Under Time Constraints Using Secure Multi-Party Computation and Evolutionary Algorithms
May 20, 2026Sebastian Gruber, Tobias Harzfeld, Christoph G. Schuetz +2Patient-To-Room Assignment Problem Deadlines
Towards Multi-Model LLM Schedulers: Empirical Insights into Offloading and Preemption
May 19, 2026Mert Yildiz, Pietro Spadaccino, Alexey Rolich +2Optimal Scheduling Offloading
Heterogeneity-Aware Dataset Scheduling for Efficient Audio Large Language Model Training
May 18, 2026Yanru Wu, Jianning Wang, Chongxin Gan +1Large Audio Language Models Audio Representation
Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework
May 18, 2026Chengpeng Hu, Yingqian Zhang, Hendrik BaierScheduling Deep Reinforcement Learning
Bayesian-Monte Carlo Schedule Updating for Construction Digital Twins: A Probabilistic Framework for Dynamic Project Forecasting
May 17, 2026Atena Khoshkonesh, Mohsen Mohammadagha, Vinayak Kaushal +1Building Information Modeling Markov Chain Monte Carlo
Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling
May 17, 2026Zhitong Xu, Qiwei Yuan, Yinghao Chen +2Determinantal Point Process Temporal Dependence
FEG-Pro: Forecast-Error Growth Profiling for Finite-Horizon Instability Analysis of Nonlinear Time Series
May 17, 2026Andrei Velichko, N'Gbo N'Gbo, Bruno Carpentieri +1Lyapunov Function Delay
MAxLM: Multi-Agent Language Model-Based Scheduling and Resource Allocation in MU-MIMO-OFDMA-Enabled Wireless Networks
May 15, 2026Adnan Quadri, Hongxiang LiWireless Resource Allocation Wireless Networks
Petri Net Induced Heuristic Search for Resource Constrained Scheduling
May 15, 2026Ido Lublin, Dor Atzmon, Izack CohenOptimal Scheduling Heuristics
Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks
May 15, 2026Chaoqun You, Yueyue Dai, Xingqiu He +3Open Radio Access Networks Optimal Scheduling
Grokking as Structural Inference: Transformers Need Bayesian Lottery Tickets
May 15, 2026Kai Hidajat, Solden Stoll, Joseph AnAttention-Based Models Transformer Architectures
Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection
May 15, 2026Heqiang Wang, Weihong Yang, Zheyuan Yang +4Zero-Shot Anomaly Detection Anomaly Detection
Residual Reinforcement Learning for Robot Teleoperation under Stochastic Delays
May 14, 2026Kaize Deng, Zewen YangIterative Reinforcement Learning Teleoperation
Edge-AI-Driven Learning-to-Rank for Decentralized Task Allocation in Circular Smart Manufacturing
May 14, 2026Mohammadhossein Ghahramani, Yan Qiao, Mengchu ZhouIndustrial Automation Deadlines

Jun 11, 2026 · cs.AIJ/K move · Enter open · S save

Optimizing Appliance Scheduling for Solar Energy Management Using Metaheuristic Algorithms

Hiba Ahmed, Alexander E. I. Brownlee, Jason Adair, Simon T. Powers

Renewable energy is essential for meeting future energy demands; however, solar energy generation, which occurs only during daylight hours often does not align with household consumption patterns. Appliances such as cookers, washing machines, and dryers are typically operated according to user preferred schedules rather than solar energy availability, creating a scheduling optimization problem. The objective is to determine optimal appliance start times to maximize renewable energy utilization while minimizing user inconvenience and adhering to system constraints. This paper presents a metaheuristic approach using Iterated Local Search (ILS) and Simulated Annealing (SA) to optimize appliance start times, while considering appliance operating durations, power consumption, inverter limit, battery state of charge constraints, and solar generation forecasts. Unlike most existing work, the scheduling is extended beyond a single day to accommodate unfinished tasks from previous days (spillover), ensuring operational continuity and enabling sequential operation across multiple days. Experimental results show that the sequential multi-day scheduling framework effectively manages system constraints while ensuring user convenience under exclusive solar generation. These findings also open opportunities for future research on multi-objective trade-offs between investment in equipment of various sizes, return on that investment, and user satisfaction.

Scheduling Hvac Control Metaheuristics Brain Alignment

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