Su Nguyen

According to our database1, Su Nguyen authored at least 85 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

Genetic-based Constraint Programming for Resource Constrained Job Scheduling.
CoRR, 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

Building interpretable predictive models with context-aware evolutionary learning.
Appl. Soft Comput., 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

Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling.
CoRR, 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

Introduction to automated design of scheduling heuristics with genetic programming.
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

Fairness Aware Swarm-based Machine Learning for Data Streams.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
A Generative Latent Space Approach for Real-Time Road Surveillance in Smart Cities.
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

People-Centric Evolutionary System for Dynamic Production Scheduling.
IEEE Trans. Cybern., 2021

Genetic Programming for Production Scheduling - An Evolutionary Learning Approach, 3
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

Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers.
IEEE Access, 2020

GSIC: A New Interpretable System for Knowledge Exploration and Classification.
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

Dynamic Self-Organising Swarm for Unsupervised Prototype Generation.
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

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules.
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


Adaptive charting genetic programming for dynamic flexible job shop scheduling.
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

A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling.
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
Automated Design of Production Scheduling Heuristics: A Review.
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

Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming.
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

Maximising total weighted number of activities for reservation with slack.
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
Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling.
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

A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling.
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

Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A New Binary Particle Swarm Optimisation Algorithm for Feature Selection.
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
Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach.
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

Hybrid evolutionary computation methods for quay crane scheduling problems.
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

Genetic programming for order acceptance and scheduling.
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
A genetic programming based hyper-heuristic approach for combinatorial optimisation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011


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