Su Nguyen
Orcid: 0000-0002-1153-5022
According to our database1,
Su Nguyen
authored at least 89 papers
between 2011 and 2024.
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Bibliography
2024
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling.
IEEE Trans. Evol. Comput., February, 2024
Knowl. Based Syst., 2024
Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty.
Int. J. Prod. Res., 2024
A hybrid and adaptive evolutionary approach for multitask optimization of post-disaster traveling salesman and repairman problems.
Comput. Oper. Res., 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
2023
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., December, 2023
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling.
IEEE Trans. Evol. Comput., October, 2023
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Cybern., 2023
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling.
CoRR, 2023
Appl. Soft Comput., 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Cybern., 2022
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling.
IEEE Trans. Cybern., 2022
Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming.
IEEE Trans. Cybern., 2022
Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty.
Swarm Evol. Comput., 2022
A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions.
Sensors, 2022
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling.
CoRR, 2022
An Efficient Merge Search Matheuristic for Maximising the Net Present Value of Project Schedules.
CoRR, 2022
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Explainable Network Pruning for Model Acceleration Based on Filter Similarity and Importance.
Proceedings of the Image and Vision Computing - 37th International Conference, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Driving Behaviour Analysis using Low Sampling GPS Trajectories of Ride-hailing Services.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
IEEE Trans. Ind. Informatics, 2021
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., 2021
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., 2021
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming.
IEEE Trans. Evol. Comput., 2021
Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
Springer, ISBN: 978-981-16-4858-8, 2021
2020
Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making.
Neural Comput. Appl., 2020
IEEE Access, 2020
IEEE Access, 2020
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020
Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic Programming - 23rd European Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Evolving Large Reusable Multi-pass Heuristics for Resource Constrained Job Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management.
IEEE Trans. Intell. Transp. Syst., 2019
Evol. Comput., 2019
A hybrid differential evolution algorithm with column generation for resource constrained job scheduling.
Comput. Oper. Res., 2019
2018
Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation.
Genet. Program. Evolvable Mach., 2018
Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier].
IEEE Comput. Intell. Mag., 2018
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput., 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming.
IEEE Trans. Emerg. Top. Comput. Intell., 2017
Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules.
IEEE Trans. Cybern., 2017
Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Optimization, dispatching rules and hyper-heuristics: A comparison in dynamic single machine scheduling.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 20th European Conference, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown.
Proceedings of the Artificial Life and Computational Intelligence, 2017
2016
IEEE Trans. Evol. Comput., 2016
Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias.
Connect. Sci., 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.
Proceedings of the Genetic Programming - 19th European Conference, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
IEEE Trans. Cybern., 2015
A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling.
Proceedings of the Genetic Programming - 18th European Conference, 2015
Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming.
IEEE Trans. Evol. Comput., 2014
Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments.
Evol. Comput., 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 17th European Conference, 2014
A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A hybrid discrete particle swarm optimisation method for grid computation scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013
Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming.
PhD thesis, 2013
A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem.
IEEE Trans. Evol. Comput., 2013
Comput. Oper. Res., 2013
Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.
Proceedings of the Genetic Programming - 16th European Conference, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 15th European Conference, 2012
A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011