2025
Graph neural networks for job shop scheduling problems: A survey.
Comput. Oper. Res., 2025
2024
Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration.
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Proceedings of the Commit2Data, 2024
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems.
CoRR, 2024
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling.
CoRR, 2024
UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model.
CoRR, 2024
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization.
CoRR, 2024
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking.
CoRR, 2024
Cross-Problem Learning for Solving Vehicle Routing Problems.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning.
Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024
2023
SCRE: special cargo relation extraction using representation learning.
Neural Comput. Appl., September, 2023
An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing.
IEEE Trans. Artif. Intell., June, 2023
The first AI4TSP competition: Learning to solve stochastic routing problems.
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Artif. Intell., June, 2023
Policies for the dynamic traveling maintainer problem with alerts.
Eur. J. Oper. Res., 2023
Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI.
CoRR, 2023
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods.
CoRR, 2023
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model.
CoRR, 2023
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks.
CoRR, 2023
Digital Twin Applications in Urban Logistics: An Overview.
CoRR, 2023
Auction-based network slicing for 5G RAN.
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023
Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking.
Proceedings of the Asian Conference on Machine Learning, 2023
2022
Setting Reserve Prices in Second-Price Auctions with Unobserved Bids.
INFORMS J. Comput., 2022
Dynamic Ad Network Ordering Method Using Reinforcement Learning.
Int. J. Comput. Intell. Syst., 2022
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems.
CoRR, 2022
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning.
CoRR, 2022
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.
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CoRR, 2022
Automated Reinforcement Learning: An Overview.
CoRR, 2022
Optimizing the inventory and fulfillment of an omnichannel retailer: a stochastic approach with scenario clustering.
Comput. Ind. Eng., 2022
Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
Deep Reinforcement Learning for a Multi-Objective Online Order Batching Problem.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022
Knowledge Modeling and Incident Analysis for Special Cargo.
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Proceedings of the Technologies and Applications for Big Data Value, 2022
2021
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning.
SN Comput. Sci., 2021
Maximizing revenue for publishers using header bidding and ad exchange auctions.
Oper. Res. Lett., 2021
Solving the online batching problem using deep reinforcement learning.
Comput. Ind. Eng., 2021
Ann. Math. Artif. Intell., 2021
Data driven design for online industrial auctions.
Ann. Math. Artif. Intell., 2021
Relation Representation Learning for Special Cargo Ontology.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Improving Ambulance Dispatching with Machine Learning and Simulation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
The EURO Meets NeurIPS 2022 Vehicle Routing Competition.
Proceedings of the NeurIPS 2022 Competition Track, 2021
Learning 2-opt Local Search from Heuristics as Expert Demonstrations.
Proceedings of the International Joint Conference on Neural Networks, 2021
A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Remaining useful lifetime prediction via deep domain adaptation.
Reliab. Eng. Syst. Saf., 2020
Regular Expression Learning from Positive Examples Based on Integer Programming.
Int. J. Softw. Eng. Knowl. Eng., 2020
Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning.
CoRR, 2020
Algorithms for slate bandits with non-separable reward functions.
CoRR, 2020
Column generation based heuristic for learning classification trees.
Comput. Oper. Res., 2020
Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Reserve price optimization with header bidding and Ad Exchange.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Dynamic Pricing Using Thompson Sampling with Fuzzy Events.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning.
Proceedings of The 12th Asian Conference on Machine Learning, 2020
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning.
Proceedings of The 12th Asian Conference on Machine Learning, 2020
2019
Solving bin-packing problems under privacy preservation: Possibilities and trade-offs.
Inf. Sci., 2019
Optimal display-ad allocation with guaranteed contracts and supply side platforms.
Comput. Ind. Eng., 2019
Machine Learning based Simulation Optimisation for Trailer Management.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Term Based Semantic Clusters for Very Short Text Classification.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Determining Capacity of Shunting Yards by Combining Graph Classification with Local Search.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019
Boosting Local Search Using Machine Learning: A Study on Improving Local Search by Graph Classification in Determining Capacity of Shunting Yards.
Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019
Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding.
Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019
A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019
Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Optimizing reserve prices for publishers in online ad auctions.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019
A Decision Support Method to Increase the Revenue of Ad Publishers in Waterfall Strategy.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019
A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Formalization and Improvement of Ambulance Dispatching in Brabant-Zuidoost.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
Learning Optimal Classification Trees Using a Binary Linear Program Formulation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Constructing classification trees using column generation.
CoRR, 2018
Shunting Trains with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Learning fuzzy decision trees using integer programming.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
Two-agent scheduling on a single parallel-batching machine with equal processing time and non-identical job sizes.
Eur. J. Oper. Res., 2017
Auction optimization using regression trees and linear models as integer programs.
Artif. Intell., 2017
Modeling participation behavior in repeated task allocations with fuzzy connectives.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017
2016
Schedule-based execution bottleneck identification in a job shop.
Comput. Ind. Eng., 2016
Participation Behavior and Social Welfare in Repeated Task Allocations.
Proceedings of the IEEE International Conference on Agents, 2016
2015
Fair task allocation in transportation.
CoRR, 2015
2014
Finding Optimal Solutions for Voting Game Design Problems.
J. Artif. Intell. Res., 2014
Learning optimization models in the presence of unknown relations.
CoRR, 2014
A Tabu Search Algorithm for application placement in computer clustering.
Comput. Oper. Res., 2014
2012
Solving Weighted Voting Game Design Problems Optimally: Representations, Synthesis, and Enumeration
CoRR, 2012
Multiagent task allocation in social networks.
Auton. Agents Multi Agent Syst., 2012
Mechanism for Robust Procurements.
Proceedings of the PRIMA 2012: Principles and Practice of Multi-Agent Systems, 2012
Revenue prediction in budget-constrained sequential auctions with complementarities.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
2010
Coordination by design and the price of autonomy.
Auton. Agents Multi Agent Syst., 2010
Coordinating Agents - An Analysis of Coordination in Supply-chain Management Tasks.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 2, 2010
Enumeration and exact design of weighted voting games.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
2009
Computing the fault tolerance of multi-agent deployment.
Artif. Intell., 2009
Creating Incentives to Prevent Intentional Execution Failures.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009
On the Complexity of Efficiency and Envy-Freeness in Fair Division of Indivisible Goods with Additive Preferences.
Proceedings of the Algorithmic Decision Theory, First International Conference, 2009
2008
Autonomous Scheduling with Unbounded and Bounded Agents.
Proceedings of the Multiagent System Technologies, 6th German Conference, 2008
Proceedings of the 2008 International Conference on Foundations of Computer Science, 2008
Of Mechanism Design Multiagent Planning.
Proceedings of the ECAI 2008, 2008
Creating incentives to prevent execution failures: an extension of VCG mechanism.
Proceedings of the Planning in Multiagent Systems, 09.11. - 14.11.2008, 2008
Preventing Under-Reporting in Social Task Allocation.
Proceedings of the Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, 2008
2007
Plan-Coordination Mechanisms and the Price of Autonomy.
Proceedings of the Computational Logic in Multi-Agent Systems, 8th International Workshop, 2007
Distributed task allocation in social networks.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007
2005
Towards fault tolerance for multiagent systems.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005
IMPACT: A Multi-Agent Framework with Declarative Semantics.
Proceedings of the Multi-Agent Programming: Languages, Platforms and Applications, 2005
2004
Distributed Algorithms for Dynamic Survivability of Multiagent Systems.
Proceedings of the Computational Logic in Multi-Agent Systems, 4th International Workshop, 2004
2003
Monitoring Agents using Declarative Planning.
Fundam. Informaticae, 2003