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08/24/2023
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods
We introduce an open-source GitHub repository containing comprehensive b...
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07/15/2023
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model
This empirical study proposes a novel methodology to measure users' perc...
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02/08/2023
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks
Algorithm selection is a well-known problem where researchers investigat...
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02/01/2023
Digital Twin Applications in Urban Logistics: An Overview
Urban traffic attributed to commercial and industrial transportation is ...
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11/01/2022
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems
Multi-objective evolutionary algorithms (MOEAs) are widely used to solve...
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11/01/2022
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning
Large Neighborhood Search (LNS) is a popular heuristic for solving combi...
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01/25/2022
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
This paper reports on the first international competition on AI for the ...
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01/13/2022
Automated Reinforcement Learning: An Overview
Reinforcement Learning and recently Deep Reinforcement Learning are popu...
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05/31/2021
Policies for the Dynamic Traveling Maintainer Problem with Alerts
Companies require modern capital assets such as wind turbines, trains an...
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06/16/2020
Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning
In e-commerce markets, on time delivery is of great importance to custom...
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04/25/2020
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
This paper proposes a Deep Reinforcement Learning (DRL) approach for sol...
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04/21/2020
Algorithms for slate bandits with non-separable reward functions
In this paper, we study a slate bandit problem where the function that d...
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04/03/2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
Recent works using deep learning to solve the Traveling Salesman Problem...
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07/17/2019
Machine Learning based Simulation Optimisation for Trailer Management
In many situations, simulation models are developed to handle complex re...
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07/17/2019
Remaining Useful Lifetime Prediction via Deep Domain Adaptation
In Prognostics and Health Management (PHM) sufficient prior observed deg...
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10/15/2018
Constructing classification trees using column generation
This paper explores the use of Column Generation (CG) techniques in cons...
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05/27/2015
Fair task allocation in transportation
Task allocation problems have traditionally focused on cost optimization...
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01/06/2014
Learning optimization models in the presence of unknown relations
In a sequential auction with multiple bidding agents, it is highly chall...
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04/23/2012