{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/scheduling/papers/30","list_of":"/task/scheduling","task":"Scheduling","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":30,"pages_in_order":32,"rows_per_page":100,"rows":[2901,3000],"of":3104,"counts":{"archive_papers_tagged":3104,"with_a_code_link":574,"where_syntology_ran_a_sample":107,"not_listed_spam_title":0,"listed":3104,"listed_where_code_ran":107,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":94,"every_run_a_failure_of_syntologys_instrument":13,"listed_with_a_run_with_no_instrument_failure":94,"listed_every_run_a_failure_of_syntologys_instrument":13,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/scheduling","prev":"/task/scheduling/papers/29","next":"/task/scheduling/papers/31","papers":[{"url":null,"slug":"two-techniques-that-enhance-the-performance","title":"Two Techniques That Enhance the Performance of Multi-robot Prioritized Path Planning","date":"2018-05-03","arxiv_id":"1805.01270","repositories_listed":0,"syntology":null},{"url":null,"slug":"utilizing-device-level-demand-forecasting-for","title":"Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version","date":"2018-05-02","arxiv_id":"1805.00702","repositories_listed":0,"syntology":null},{"url":null,"slug":"roster-evaluation-based-on-classifiers-for","title":"Roster Evaluation Based on Classifiers for the Nurse Rostering Problem","date":"2018-04-13","arxiv_id":"1804.05002","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-gpu-based-wfst-decoder-with-exact-lattice","title":"A GPU-based WFST Decoder with Exact Lattice Generation","date":"2018-04-09","arxiv_id":"1804.03243","repositories_listed":0,"syntology":null},{"url":null,"slug":"resilient-non-submodular-maximization-over","title":"Resilient Non-Submodular Maximization over Matroid Constraints","date":"2018-04-02","arxiv_id":"1804.01013","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-energy-and-resource-management","title":"Distributed Energy and Resource Management for Full-Duplex Dense Small Cells for 5G","date":"2018-03-24","arxiv_id":"1803.09175","repositories_listed":0,"syntology":null},{"url":null,"slug":"resilient-monotone-sequential-maximization","title":"Resilient Monotone Sequential Maximization","date":"2018-03-21","arxiv_id":"1803.07954","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-low-complexity-space-frequency-multiuser","title":"A Low Complexity Space-Frequency Multiuser Scheduling Algorithm","date":"2018-03-20","arxiv_id":"1803.07344","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolution-of-spatial-and-multicarrier","title":"Evolution of Spatial and Multicarrier Scheduling: Towards Multi-cell Scenario","date":"2018-03-20","arxiv_id":"1803.07342","repositories_listed":0,"syntology":null},{"url":null,"slug":"queuing-theory-guided-intelligent-traffic","title":"Queuing Theory Guided Intelligent Traffic Scheduling through Video Analysis using Dirichlet Process Mixture Model","date":"2018-03-17","arxiv_id":"1803.06480","repositories_listed":0,"syntology":null},{"url":null,"slug":"cubic-range-error-model-for-stereo-vision","title":"Cubic Range Error Model for Stereo Vision with Illuminators","date":"2018-03-11","arxiv_id":"1803.03932","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-optimization-of-scheduling-and-routing","title":"Joint Optimization of Scheduling and Routing in Multicast Wireless Ad-Hoc Network Using Soft Graph Coloring and Non-linear Cubic Games","date":"2018-03-10","arxiv_id":"1803.03736","repositories_listed":0,"syntology":null},{"url":null,"slug":"resource-allocation-in-wireless-networks-with","title":"Resource Allocation in Wireless Networks with Energy Constraints","date":"2018-03-10","arxiv_id":"1803.04864","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepcas-a-deep-reinforcement-learning","title":"DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling","date":"2018-03-08","arxiv_id":"1803.02998","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-swift-heuristic-method-for-work-order","title":"A Swift Heuristic Method for Work Order Scheduling under the Skilled-Workforce Constraint","date":"2018-03-03","arxiv_id":"1803.01252","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-free-control-for-distributed-stream","title":"Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning","date":"2018-03-02","arxiv_id":"1803.01016","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-recall-probability-to-adaptively","title":"Predicting Recall Probability to Adaptively Prioritize Study","date":"2018-02-28","arxiv_id":"1803.00111","repositories_listed":0,"syntology":null},{"url":null,"slug":"application-of-multivariate-data-analysis-to","title":"Application of Multivariate Data Analysis to machine power measurements as a means of tool life Predictive Maintenance for reducing product waste","date":"2018-02-26","arxiv_id":"1802.08338","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-transmission-scheduling-in-rf","title":"Revisiting Transmission Scheduling in RF Energy Harvesting Wireless Communications","date":"2018-02-20","arxiv_id":"1802.09328","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-user-beam-alignment-for-millimeter-wave","title":"Multi-user Beam-Alignment for Millimeter-Wave Networks","date":"2018-02-16","arxiv_id":"1802.06148","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-spatio-temporal-pattern-prediction-for","title":"Energy Spatio-Temporal Pattern Prediction for Electric Vehicle Networks","date":"2018-02-14","arxiv_id":"1802.04931","repositories_listed":0,"syntology":null},{"url":null,"slug":"electric-vehicle-driver-clustering-using","title":"Electric Vehicle Driver Clustering using Statistical Model and Machine Learning","date":"2018-02-12","arxiv_id":"1802.04193","repositories_listed":0,"syntology":null},{"url":null,"slug":"solving-the-course-timetabling-problem-of","title":"Solving the Course-timetabling Problem of Cairo University Using Max-SAT","date":"2018-02-11","arxiv_id":"1803.05027","repositories_listed":0,"syntology":null},{"url":null,"slug":"web-based-implementation-of-travelling","title":"Web-Based Implementation of Travelling Salesperson Problem Using Genetic Algorithm","date":"2018-02-09","arxiv_id":"1802.03155","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-co-design-peta-scale-heterogeneous","title":"A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training","date":"2018-02-07","arxiv_id":"1802.02326","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-emulate-an-expert-projective-cone","title":"Learning to Emulate an Expert Projective Cone Scheduler","date":"2018-01-30","arxiv_id":"1801.09821","repositories_listed":0,"syntology":null},{"url":null,"slug":"uav-offloading-spectrum-trading-contract","title":"UAV Offloading: Spectrum Trading Contract Design for UAV Assisted 5G Networks","date":"2018-01-28","arxiv_id":"1801.05388","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-improved-tabu-search-heuristic-for-static","title":"An Improved Tabu Search Heuristic for Static Dial-A-Ride Problem","date":"2018-01-25","arxiv_id":"1801.09547","repositories_listed":0,"syntology":null},{"url":null,"slug":"power-control-and-scheduling-in-low-snr","title":"Power Control and Scheduling In Low SNR Region In The Uplink of Two Cell Networks","date":"2018-01-20","arxiv_id":"1711.10538","repositories_listed":0,"syntology":null},{"url":null,"slug":"superneurons-dynamic-gpu-memory-management","title":"SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks","date":"2018-01-13","arxiv_id":"1801.04380","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-the-effect-of-advertising","title":"Assessing the effect of advertising expenditures upon sales: a Bayesian structural time series model","date":"2018-01-09","arxiv_id":"1801.03050","repositories_listed":0,"syntology":null},{"url":null,"slug":"leap-learning-embeddings-for-adaptive-pace","title":"LEAP: Learning Embeddings for Adaptive Pace","date":"2018-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-online-ride-sharing-path-planning-strategy","title":"An Online Ride-Sharing Path Planning Strategy for Public Vehicle Systems","date":"2017-12-27","arxiv_id":"1712.09356","repositories_listed":0,"syntology":null},{"url":null,"slug":"disruption-management-for-resource","title":"Disruption management for resource-constrained project scheduling","date":"2017-12-21","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"downlink-power-allocation-for-comp-noma-in","title":"Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks","date":"2017-12-16","arxiv_id":"1801.04981","repositories_listed":0,"syntology":null},{"url":null,"slug":"constraint-and-mathematical-programming","title":"Constraint and Mathematical Programming Models for Integrated Port Container Terminal Operations","date":"2017-12-14","arxiv_id":"1712.05302","repositories_listed":0,"syntology":null},{"url":null,"slug":"cavs-a-vertex-centric-programming-interface","title":"Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks","date":"2017-12-11","arxiv_id":"1712.04048","repositories_listed":0,"syntology":null},{"url":null,"slug":"nestednet-learning-nested-sparse-structures","title":"NestedNet: Learning Nested Sparse Structures in Deep Neural Networks","date":"2017-12-11","arxiv_id":"1712.03781","repositories_listed":0,"syntology":null},{"url":null,"slug":"production-ready-chatbots-generate-if-not","title":"Production Ready Chatbots: Generate if not Retrieve","date":"2017-11-27","arxiv_id":"1711.09684","repositories_listed":0,"syntology":null},{"url":null,"slug":"message-passing-receiver-design-for-joint","title":"Message-Passing Receiver Design for Joint Channel Estimation and Data Decoding in Uplink Grant-Free SCMA Systems","date":"2017-11-23","arxiv_id":"1711.08597","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-bioinspired-algorithms-for-the","title":"Evaluation of bioinspired algorithms for the solution of the job scheduling problem","date":"2017-11-21","arxiv_id":"1711.07821","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-reinforcement-learning-for-multi","title":"Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling","date":"2017-11-20","arxiv_id":"1711.07440","repositories_listed":0,"syntology":null},{"url":null,"slug":"modular-resource-centric-learning-for","title":"Modular Resource Centric Learning for Workflow Performance Prediction","date":"2017-11-15","arxiv_id":"1711.05429","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-decision-making-framework-for","title":"A unified decision making framework for supply and demand management in microgrid networks","date":"2017-11-14","arxiv_id":"1711.05078","repositories_listed":0,"syntology":null},{"url":null,"slug":"concurrent-pump-scheduling-and-storage-level","title":"Concurrent Pump Scheduling and Storage Level Optimization Using Meta-Models and Evolutionary Algorithms","date":"2017-11-14","arxiv_id":"1711.04988","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-synthesis-of-guaranteed-quality-plans","title":"On the Synthesis of Guaranteed-Quality Plans for Robot Fleets in Logistics Scenarios via Optimization Modulo Theories","date":"2017-11-12","arxiv_id":"1711.04259","repositories_listed":0,"syntology":null},{"url":null,"slug":"scda-school-compatibility-decomposition","title":"SCDA: School Compatibility Decomposition Algorithm for Solving the Multi-School Bus Routing and Scheduling Problem","date":"2017-11-01","arxiv_id":"1711.00532","repositories_listed":0,"syntology":null},{"url":null,"slug":"school-bus-routing-by-maximizing-trip","title":"School bus routing by maximizing trip compatibility","date":"2017-11-01","arxiv_id":"1711.00530","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerated-reinforcement-learning","title":"Accelerated Reinforcement Learning","date":"2017-10-23","arxiv_id":"1710.08070","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-two-phase-safe-vehicle-routing-and","title":"A Two-Phase Safe Vehicle Routing and Scheduling Problem: Formulations and Solution Algorithms","date":"2017-10-18","arxiv_id":"1710.07147","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-batching-and-scheduling-optimisation-for-a","title":"A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study","date":"2017-10-11","arxiv_id":"1710.03981","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-reinforcement-learning-framework","title":"Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations","date":"2017-10-10","arxiv_id":"1710.03792","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-simple-reinforcement-learning-mechanism-for","title":"A Simple Reinforcement Learning Mechanism for Resource Allocation in LTE-A Networks with Markov Decision Process and Q-Learning","date":"2017-09-27","arxiv_id":"1709.09312","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolutionary-acyclic-graph-partitioning","title":"Evolutionary Acyclic Graph Partitioning","date":"2017-09-25","arxiv_id":"1709.08563","repositories_listed":0,"syntology":null},{"url":null,"slug":"complexity-of-scheduling-charging-in-the","title":"Complexity of Scheduling Charging in the Smart Grid","date":"2017-09-21","arxiv_id":"1709.07480","repositories_listed":0,"syntology":null},{"url":null,"slug":"long-term-ensemble-learning-of-visual-place","title":"Long-Term Ensemble Learning of Visual Place Classifiers","date":"2017-09-16","arxiv_id":"1709.05470","repositories_listed":0,"syntology":null},{"url":null,"slug":"variable-annealing-length-and-parallelism-in","title":"Variable Annealing Length and Parallelism in Simulated Annealing","date":"2017-09-08","arxiv_id":"1709.02877","repositories_listed":0,"syntology":null},{"url":null,"slug":"throughput-optimal-decentralized-scheduling","title":"Throughput Optimal Decentralized Scheduling of Multi-Hop Networks with End-to-End Deadline Constraints: II Wireless Networks with Interference","date":"2017-09-06","arxiv_id":"1709.01672","repositories_listed":0,"syntology":null},{"url":null,"slug":"novel-sensor-scheduling-scheme-for-intruder","title":"Novel Sensor Scheduling Scheme for Intruder Tracking in Energy Efficient Sensor Networks","date":"2017-08-27","arxiv_id":"1708.08113","repositories_listed":0,"syntology":null},{"url":null,"slug":"riot-a-stochastic-based-method-for-workflow","title":"RIOT: a Stochastic-based Method for Workflow Scheduling in the Cloud","date":"2017-08-27","arxiv_id":"1708.08127","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-convex-optimization-with-stochastic","title":"Online Convex Optimization with Stochastic Constraints","date":"2017-08-12","arxiv_id":"1708.03741","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-information-theoretic-optimality-principle","title":"An Information-Theoretic Optimality Principle for Deep Reinforcement Learning","date":"2017-08-06","arxiv_id":"1708.01867","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-session-length-in-media-streaming","title":"Predicting Session Length in Media Streaming","date":"2017-08-01","arxiv_id":"1708.00130","repositories_listed":0,"syntology":null},{"url":null,"slug":"closed-loop-policies-for-operational-tests-of","title":"Closed-Loop Policies for Operational Tests of Safety-Critical Systems","date":"2017-07-25","arxiv_id":"1707.08234","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-line-building-energy-optimization-using","title":"On-line Building Energy Optimization using Deep Reinforcement Learning","date":"2017-07-18","arxiv_id":"1707.05878","repositories_listed":0,"syntology":null},{"url":null,"slug":"indoor-uav-scheduling-with-restful-task","title":"Indoor UAV scheduling with Restful Task Assignment Algorithm","date":"2017-06-29","arxiv_id":"1706.09737","repositories_listed":0,"syntology":null},{"url":null,"slug":"submodular-function-maximization-for-group","title":"Submodular Function Maximization for Group Elevator Scheduling","date":"2017-06-28","arxiv_id":"1707.00617","repositories_listed":0,"syntology":null},{"url":null,"slug":"random-forests-for-industrial-device","title":"Random Forests for Industrial Device Functioning Diagnostics Using Wireless Sensor Networks","date":"2017-06-25","arxiv_id":"1706.08106","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-schedule-deadline-and-operator","title":"Learning to Schedule Deadline- and Operator-Sensitive Tasks","date":"2017-06-19","arxiv_id":"1706.06051","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-the-quality-of-tourist-agendas","title":"Evaluating the quality of tourist agendas customized to different travel styles","date":"2017-06-17","arxiv_id":"1706.05518","repositories_listed":0,"syntology":null},{"url":null,"slug":"autonomous-reactive-mission-scheduling-and","title":"Autonomous Reactive Mission Scheduling and Task-Path Planning Architecture for Autonomous Underwater Vehicle","date":"2017-06-13","arxiv_id":"1706.04189","repositories_listed":0,"syntology":null},{"url":null,"slug":"design-and-implementation-of-modified-fuzzy","title":"Design and Implementation of Modified Fuzzy based CPU Scheduling Algorithm","date":"2017-05-26","arxiv_id":"1706.02621","repositories_listed":0,"syntology":null},{"url":null,"slug":"tramp-ship-scheduling-problem-with-berth","title":"Tramp Ship Scheduling Problem with Berth Allocation Considerations and Time-dependent Constraints","date":"2017-05-04","arxiv_id":"1705.01681","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hybrid-exact-aco-algorithm-for-the-joint","title":"A hybrid exact-ACO algorithm for the joint scheduling, power and cluster assignment in cooperative wireless networks","date":"2017-04-21","arxiv_id":"1704.06684","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerated-distributed-dual-averaging-over","title":"Accelerated Distributed Dual Averaging over Evolving Networks of Growing Connectivity","date":"2017-04-18","arxiv_id":"1704.05193","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-sport-tournament-scheduling-by-genetic","title":"A Sport Tournament Scheduling by Genetic Algorithm with Swapping Method","date":"2017-04-17","arxiv_id":"1704.04879","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-partitioning-with-acyclicity","title":"Graph Partitioning with Acyclicity Constraints","date":"2017-04-03","arxiv_id":"1704.00705","repositories_listed":0,"syntology":null},{"url":null,"slug":"solar-power-forecasting-using-support-vector","title":"Solar Power Forecasting Using Support Vector Regression","date":"2017-03-29","arxiv_id":"1703.09851","repositories_listed":0,"syntology":null},{"url":null,"slug":"team-formation-for-scheduling-educational","title":"Team Formation for Scheduling Educational Material in Massive Online Classes","date":"2017-03-26","arxiv_id":"1703.08762","repositories_listed":0,"syntology":null},{"url":null,"slug":"calendarhelp-designing-a-workflow-based","title":"Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop","date":"2017-03-24","arxiv_id":"1703.08428","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-explicitly-modeling","title":"Deep Learning for Explicitly Modeling Optimization Landscapes","date":"2017-03-21","arxiv_id":"1703.07394","repositories_listed":0,"syntology":null},{"url":null,"slug":"near-optimal-hamiltonian-control-and-learning","title":"Near Optimal Hamiltonian-Control and Learning via Chattering","date":"2017-03-19","arxiv_id":"1703.06485","repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-the-curse-of-correlation-in","title":"Mitigating the Curse of Correlation in Security Games by Entropy Maximization","date":"2017-03-11","arxiv_id":"1703.03912","repositories_listed":0,"syntology":null},{"url":null,"slug":"truth-and-regret-in-online-scheduling","title":"Truth and Regret in Online Scheduling","date":"2017-03-01","arxiv_id":"1703.00484","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-realistic-dataset-for-the-smart-home-device","title":"A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs","date":"2017-02-22","arxiv_id":"1702.06970","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-surgery-duration-with-neural","title":"Predicting Surgery Duration with Neural Heteroscedastic Regression","date":"2017-02-17","arxiv_id":"1702.05386","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-order-scheduling-in-the-fashion","title":"Robust Order Scheduling in the Fashion Industry: A Multi-Objective Optimization Approach","date":"2017-02-01","arxiv_id":"1702.00159","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversification-methods-for-zero-one","title":"Diversification Methods for Zero-One Optimization","date":"2017-01-30","arxiv_id":"1701.08709","repositories_listed":0,"syntology":null},{"url":null,"slug":"see-the-near-future-a-short-term-predictive","title":"See the Near Future: A Short-Term Predictive Methodology to Traffic Load in ITS","date":"2017-01-08","arxiv_id":"1701.01917","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-convex-mathematical-program-for-pump","title":"A convex mathematical program for pump scheduling in a class of branched water networks","date":"2017-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-timetabling-for-small-colleges-and","title":"Automated timetabling for small colleges and high schools using huge integer programs","date":"2016-12-28","arxiv_id":"1612.08777","repositories_listed":0,"syntology":null},{"url":null,"slug":"safety-verification-and-control-for-collision","title":"Safety Verification and Control for Collision Avoidance at Road Intersections","date":"2016-12-08","arxiv_id":"1612.02795","repositories_listed":0,"syntology":null},{"url":null,"slug":"tuning-the-scheduling-of-distributed","title":"Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization","date":"2016-12-01","arxiv_id":"1612.00383","repositories_listed":0,"syntology":null},{"url":null,"slug":"probabilistic-broken-stick-model-a-regression","title":"Probabilistic Broken-Stick Model: A Regression Algorithm for Irregularly Sampled Data with Application to eGFR","date":"2016-11-30","arxiv_id":"1612.01409","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-self-tuning-firefly-algorithm-to-tune-the","title":"A self-tuning Firefly algorithm to tune the parameters of Ant Colony System (ACSFA)","date":"2016-10-26","arxiv_id":"1610.08222","repositories_listed":0,"syntology":null},{"url":null,"slug":"weekly-maintenance-scheduling-using-exact-and","title":"Weekly maintenance scheduling using exact and genetic methods","date":"2016-10-17","arxiv_id":"1610.05016","repositories_listed":0,"syntology":null},{"url":null,"slug":"solving-the-wastewater-treatment-plant","title":"Solving the Wastewater Treatment Plant Problem with SMT","date":"2016-09-17","arxiv_id":"1609.05367","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-centralized-reinforcement-learning-method","title":"A centralized reinforcement learning method for multi-agent job scheduling in Grid","date":"2016-09-11","arxiv_id":"1609.03157","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-energy-storage-scheduling-for","title":"Robust Energy Storage Scheduling for Imbalance Reduction of Strategically Formed Energy Balancing Groups","date":"2016-08-30","arxiv_id":"1608.08292","repositories_listed":0,"syntology":null},{"url":null,"slug":"generation-of-near-optimal-solutions-using","title":"Generation of Near-Optimal Solutions Using ILP-Guided Sampling","date":"2016-08-03","arxiv_id":"1608.01093","repositories_listed":0,"syntology":null}],"record_sha256":"c138ceb1a5b7cd99b03ee522d8a798100a45b693b0e5049f4ec1f41b89278ae8","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}