A genetic programming based hyper-heuristic approach for combinatorial optimisation. - Su Nguyen; Mengjie Zhang 001; Mark Johnston (GECCO, 2011)

A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2012)

Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (EuroGP, 2012)

Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (SEAL, 2012)

Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming. - John Park; Su Nguyen; Mark Johnston; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2013)

Genetic programming for order acceptance and scheduling. - John Park; Su Nguyen; Mengjie Zhang 001; Mark Johnston (IEEE Congress on Evolutionary Computation, 2013)

Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (EuroGP, 2013)

Hybrid evolutionary computation methods for quay crane scheduling problems. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (Comput. Oper. Res., 2013)

A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Trans. Evol. Comput., 2013)

Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming. - Su Nguyen (2013)

Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (Automated Scheduling and Planning, 2013)

A hybrid discrete particle swarm optimisation method for grid computation scheduling. - Stephen Bennett; Su Nguyen; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling. - Su Nguyen; Mengjie Zhang 001; Mark Johnston (IEEE Congress on Evolutionary Computation, 2014)

Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston (EuroGP, 2014)

A New Binary Particle Swarm Optimisation Algorithm for Feature Selection. - Bing Xue 001; Su Nguyen; Mengjie Zhang 001 (EvoApplications, 2014)

Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (SEAL, 2014)

Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming. - John Park; Su Nguyen; Mengjie Zhang 001; Mark Johnston (SEAL, 2014)

Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (Evol. Comput., 2014)

Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Trans. Evol. Comput., 2014)

Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (CEC, 2015)

Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling. - John Park; Su Nguyen; Mengjie Zhang 001; Mark Johnston (EuroGP, 2015)

A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (GECCO, 2015)

A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling. - John Park; Su Nguyen; Mengjie Zhang 001; Mark Johnston (GECCO (Companion), 2015)

Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Trans. Cybern., 2015)

Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions. - Su Nguyen; Yi Mei 001; Hui Ma 001; Aaron Chen 001; Mengjie Zhang 001 (CEC, 2016)

Maximising total weighted number of activities for reservation with slack. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (CEC, 2016)

Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mark Johnston; Mengjie Zhang 001 (EuroGP, 2016)

Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming. - Yi Mei 001; Mengjie Zhang 001; Su Nguyen (GECCO, 2016)

Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias. - Binh Tran; Bing Xue 001; Mengjie Zhang 001; Su Nguyen (Connect. Sci., 2016)

Automated Design of Production Scheduling Heuristics: A Review. - Jürgen Branke; Su Nguyen; Christoph W. Pickardt; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2016)

Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mengjie Zhang 001 (ACALCI, 2017)

A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling. - Su Nguyen; Mengjie Zhang 001 (CEC, 2017)

Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming. - Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (EuroGP, 2017)

Optimization, dispatching rules and hyper-heuristics: A comparison in dynamic single machine scheduling. - Su Nguyen (IECON, 2017)

Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling. - Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (SEAL, 2017)

Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (IEEE Trans. Cybern., 2017)

An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming. - Yi Mei 001; Su Nguyen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mengjie Zhang 001 (EuroGP, 2018)

Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling. - Su Nguyen; Dhananjay R. Thiruvady; Andreas T. Ernst; Damminda Alahakoon (GECCO, 2018)

Adaptive charting genetic programming for dynamic flexible job shop scheduling. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (GECCO, 2018)

Tutorials at PPSN 2018. - Gisele Lobo Pappa; Michael T. M. Emmerich; Ana L. C. Bazzan; Will N. Browne; Kalyanmoy Deb; Carola Doerr; Marko Durasevic; Michael G. Epitropakis; Saemundur O. Haraldsson; Domagoj Jakobovic; Pascal Kerschke; Krzysztof Krawiec; et al. (PPSN (2), 2018)

An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mengjie Zhang 001 (Appl. Soft Comput., 2018)

Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier]. - Su Nguyen; Mengjie Zhang 001; Damminda Alahakoon; Kay Chen Tan (IEEE Comput. Intell. Mag., 2018)

Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation. - Su Nguyen; Yi Mei 001; Mengjie Zhang 001 (Genet. Program. Evolvable Mach., 2018)

A hybrid differential evolution algorithm with column generation for resource constrained job scheduling. - Su Nguyen; Dhananjay R. Thiruvady; Andreas T. Ernst; Damminda Alahakoon (Comput. Oper. Res., 2019)

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. - Su Nguyen; Yi Mei 001; Bing Xue 001; Mengjie Zhang 001 (Evol. Comput., 2019)

Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management. - Dinithi Nallaperuma; Rashmika Nawaratne; Tharindu R. Bandaragoda; Achini Adikari; Su Nguyen; Thimal Kempitiya; Daswin De Silva; Damminda Alahakoon; Dakshan Pothuhera (IEEE Trans. Intell. Transp. Syst., 2019)

Evolving Large Reusable Multi-pass Heuristics for Resource Constrained Job Scheduling. - Su Nguyen; Dhananjay R. Thiruvady (CEC, 2020)

Dynamic Self-Organising Swarm for Unsupervised Prototype Generation. - Su Nguyen; Binh Tran; Damminda Alahakoon (CEC, 2020)

Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (EuroGP, 2020)

Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (EvoCOP, 2020)

A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (GECCO Companion, 2020)

GSIC: A New Interpretable System for Knowledge Exploration and Classification. - Thanh-Phu Nguyen; Su Nguyen; Damminda Alahakoon; Van-Nam Huynh (IEEE Access, 2020)

Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers. - Diem Pham; Binh Tran; Su Nguyen; Damminda Alahakoon (IEEE Access, 2020)

Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making. - Tharindu R. Bandaragoda; Achini Adikari; Rashmika Nawaratne; Dinithi Nallaperuma; Ashish Kumar Luhach; Thimal Kempitiya; Su Nguyen; Damminda Alahakoon; Daswin De Silva; Naveen K. Chilamkurti (Neural Comput. Appl., 2020)

Genetic Programming for Production Scheduling - An Evolutionary Learning Approach, 3 - Fangfang Zhang 003; Su Nguyen; Yi Mei 001; Mengjie Zhang 001 (Springer, 2021)

People-Centric Evolutionary System for Dynamic Production Scheduling. - Su Nguyen; Mengjie Zhang 001; Damminda Alahakoon; Kay Chen Tan (IEEE Trans. Cybern., 2021)

Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming. - Su Nguyen; Dhananjay Raghavan Thiruvady; Mengjie Zhang 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2021)

Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2021)

A Generative Latent Space Approach for Real-Time Road Surveillance in Smart Cities. - Rashmika Nawaratne; Sachin Kahawala; Su Nguyen; Daswin De Silva (IEEE Trans. Ind. Informatics, 2021)

Fairness Aware Swarm-based Machine Learning for Data Streams. - Diem Pham; Binh Tran; Su Nguyen; Damminda Alahakoon (AI, 2022)

Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (CEC, 2022)

Driving Behaviour Analysis using Low Sampling GPS Trajectories of Ride-hailing Services. - Thukaraka Pakeerathan; Thenusan Santhirakumar; Dilani Rajendren; Amal Shegan Perera; Su Nguyen (DSIT, 2022)

Introduction to automated design of scheduling heuristics with genetic programming. - Marko Durasevic; Domagoj Jakobovic; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (GECCO Companion, 2022)

Explainable Network Pruning for Model Acceleration Based on Filter Similarity and Importance. - Jinrong Wu; Su Nguyen; Damminda Alahakoon (IVCNZ, 2022)

Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (PPSN (2), 2022)

Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (SSCI, 2022)

An Efficient Merge Search Matheuristic for Maximising the Net Present Value of Project Schedules. - Dhananjay R. Thiruvady; Su Nguyen; Christian Blum 001; Andreas T. Ernst (CoRR, 2022)

Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling. - Dhananjay R. Thiruvady; Su Nguyen; Yuan Sun 003; Fatemeh Shiri; Nayyar Zaidi; Xiaodong Li 001 (CoRR, 2022)

A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions. - Harsha Moraliyage; Sanoshi Dahanayake; Daswin De Silva; Nishan Mills; Prabod Rathnayaka; Su Nguyen; Damminda Alahakoon; Andrew Jennings (Sensors, 2022)

Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty. - Dhananjay R. Thiruvady; Su Nguyen; Fatemeh Shiri; Nayyar Zaidi; Xiaodong Li 001 (Swarm Evol. Comput., 2022)

Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming. - Su Nguyen; Dhananjay R. Thiruvady; Mengjie Zhang 001; Damminda Alahakoon (IEEE Trans. Cybern., 2022)

Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Kay Chen Tan; Mengjie Zhang 001 (IEEE Trans. Cybern., 2022)

Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (IEEE Trans. Cybern., 2022)

MNDE: Node-depth encoding can do better in evolutionary multitask algorithms. - Cong Dao Tran; Anh Do Tuan; Huynh Thi Thanh Binh; Duc Anh Do; Ha-Bang Ban; Su Nguyen (GECCO Companion, 2023)

Building interpretable predictive models with context-aware evolutionary learning. - Binh Tran; Chamika Sudusinghe; Su Nguyen; Damminda Alahakoon (Appl. Soft Comput., 2023)

AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling. - Pivithuru Thejan Amarasinghe; Su Nguyen; Yuan Sun 003; Damminda Alahakoon (CoRR, 2023)

Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Kay Chen Tan; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Kay Chen Tan; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams. - Pivithuru Thejan Amarasinghe; Diem Pham; Binh Tran; Su Nguyen; Yuan Sun 003; Damminda Alahakoon (GECCO, 2024)

Genetic-based Constraint Programming for Resource Constrained Job Scheduling. - Su Nguyen; Dhananjay R. Thiruvady; Yuan Sun 003; Mengjie Zhang 001 (GECCO, 2024)

A hybrid and adaptive evolutionary approach for multitask optimization of post-disaster traveling salesman and repairman problems. - Ha-Bang Ban; Huynh Thi Thanh Binh; Tuan Anh Do; Cong Dao Tran; Su Nguyen (Comput. Oper. Res., 2024)

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty. - Dhananjay R. Thiruvady; Su Nguyen; Yuan Sun 003; Fatemeh Shiri; Nayyar Zaidi; Xiaodong Li 001 (Int. J. Prod. Res., 2024)

Enhancing constraint programming via supervised learning for job shop scheduling. - Yuan Sun 003; Su Nguyen; Dhananjay R. Thiruvady; Xiaodong Li 001; Andreas T. Ernst; Uwe Aickelin (Knowl. Based Syst., 2024)

Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

An Online Genetic Programming Approach to Dynamic Production Scheduling. - Binh Tran; Su Nguyen (GECCO, 2025)