Yuan Sun

Samuel Esler

Kerri Morgan

Ann. Oper. Res., October, 2024

Enhancing constraint programming via supervised learning for job shop scheduling.

[BibT_eX]

[DOI]

Su Nguyen

Uwe Aickelin

Knowl. Based Syst., 2024

A learned cost model for big data query processing.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2024

On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient k-means with Individual Fairness via Exponential Tilting.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Stabilization Based on Machine Learning for Column Generation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Machine Learning-Enhanced Ant Colony Optimization for Column Generation.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Genetic-based Constraint Programming for Resource Constrained Job Scheduling.

[BibT_eX]

[DOI]

Su Nguyen

Pivithuru Thejan Amarasinghe

Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

F3KM: Federated, Fair, and Fast k-means.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, December, 2023

Ranking constraint relaxations for mixed integer programs using a machine learning approach.

[BibT_eX]

[DOI]

EURO J. Comput. Optim., January, 2023

Prerequisite-driven Fair Clustering on Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

Adaptive solution prediction for combinatorial optimization.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2023

Efficient Spatial Dataset Search over Multiple Data Sources.

[BibT_eX]

[DOI]

CoRR, 2023

AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling.

[BibT_eX]

[DOI]

Pivithuru Thejan Amarasinghe

Su Nguyen

Damminda Alahakoon

CoRR, 2023

Learning to Generate Columns with Application to Vertex Coloring.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Large-Scale Optimization and Learning.

[BibT_eX]

[DOI]

Mohammad Nabi Omidvar

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Fast Dataset Search with Earth Mover's Distance.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data.

[BibT_eX]

[DOI]

Winton Nathan-Roberts

Tien-Dung Pham

Ellen Otte

Uwe Aickelin

CoRR, 2022

Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling.

[BibT_eX]

[DOI]

CoRR, 2022

Boosting ant colony optimization via solution prediction and machine learning.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2022

Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Resource-Aware Deep Cost Model for Big Data Query Processing.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Using Statistical Measures and Machine Learning for Graph Reduction to Solve Maximum Weight Clique Problems.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Generalization of machine learning for problem reduction: a case study on travelling salesman problems.

[BibT_eX]

[DOI]

OR Spectr., 2021

Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2021

Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Learning Primal Heuristics for Mixed Integer Programs.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection.

[BibT_eX]

[DOI]

Sheng Wang

Zhifeng Bao

Proc. VLDB Endow., 2020

Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

ENVirT: inference of ecological characteristics of viruses from metagenomic data.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

An improved merge search algorithm for the constrained pit problem in open-pit mining.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Decomposition for Large-scale Optimization Problems with Overlapping Components.

[BibT_eX]

[DOI]

Mohammad Nabi Omidvar

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

A Recursive Decomposition Method for Large Scale Continuous Optimization.

[BibT_eX]

[DOI]

Saman K. Halgamuge

IEEE Trans. Evol. Comput., 2018

Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition.

[BibT_eX]

[DOI]

Mohammad Nabi Omidvar

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Cooperative co-evolution with online optimizer selection for large-scale optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

On the analysis of interaction between decision variables.

[BibT_eX]

[DOI]

PhD thesis, 2017

Quantifying Variable Interactions in Continuous Optimization Problems.

[BibT_eX]

[DOI]

Saman K. Halgamuge

IEEE Trans. Evol. Comput., 2017

A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization.

[BibT_eX]

[DOI]

Saman K. Halgamuge

Proceedings of the Artificial Life and Computational Intelligence, 2017

2015

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges.

[BibT_eX]

[DOI]

Inf. Sci., 2015

On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems.

[BibT_eX]

[DOI]

Saman Kumara Halgamuge

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions.

[BibT_eX]

[DOI]