Genetic Programming Bibliography entries for Su Nguyen

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GP coauthors/coeditors: Jurgen Branke, Christoph Pickardt, Mengjie Zhang, Marko Durasevic, Domagoj Jakobovic, Yi Mei, Bing Xue, Mark Johnston, Kay Chen Tan, Hui Ma, Aaron Chen, Dhananjay Thiruvady, Andreas Ernst, Damminda Alahakoon, Greg O'Keefe, Sobhan Arisian, Kerry Trentelman, Yuan Sun, John Park, Fangfang Zhang,

Genetic Programming Articles by Su Nguyen

  1. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling. IEEE Transactions on Cybernetics, 53(7):4473-4486, 2023. details

  2. Su Nguyen and Greg O'Keefe and Sobhan Arisian and Kerry Trentelman and Damminda Alahakoon. Leveraging explainable AI for enhanced decision making in humanitarian logistics: An Adversarial CoevoluTION (ACTION) framework. International Journal of Disaster Risk Reduction, 97:104004, 2023. details

  3. Fangfang Zhang and Yi Mei and Su Nguyen and Kay Chen Tan and Mengjie Zhang. Instance Rotation Based Surrogate in Genetic Programming with Brood Recombination for Dynamic Job Shop Scheduling. IEEE Transactions on Evolutionary Computation, 27(5):1192-1206, 2023. details

  4. Fangfang Zhang and Yi Mei and Su Nguyen and Kay Chen Tan and Mengjie Zhang. Task Relatedness Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Evolutionary Computation, 27(6):1705-1719, 2023. details

  5. Su Nguyen and Dhananjay Thiruvady and Mengjie Zhang and Damminda Alahakoon. Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming. IEEE Transactions on Cybernetics, 52(9):8603-8616, 2022. details

  6. Fangfang Zhang and Yi Mei and Su Nguyen and Kay Chen Tan and Mengjie Zhang. Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. IEEE Transactions on Cybernetics, 52(10):10515-10528, 2022. details

  7. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Cybernetics, 52(8):8142-8156, 2022. details

  8. Su Nguyen and Dhananjay Thiruvady and Mengjie Zhang and Kay Chen Tan. A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming. IEEE Transactions on Evolutionary Computation, 25(3):492-507, 2021. details

  9. Su Nguyen and Mengjie Zhang and Damminda Alahakoon and Kay Chen Tan. People-Centric Evolutionary System for Dynamic Production Scheduling. IEEE Transactions on Cybernetics, 51(3):1403-1416, 2021. details

  10. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang and Kay Chen Tan. Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Evolutionary Computation, 25(4):651-665, 2021. details

  11. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Correlation Coefficient based Recombinative Guidance for Genetic Programming Hyper-heuristics in Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Evolutionary Computation, 25(3):552-566, 2021. details

  12. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling. IEEE Transactions on Cybernetics, 51(4):1797-1811, 2021. details

  13. Su Nguyen and Yi Mei and Bing Xue and Mengjie Zhang. A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. Evolutionary Computation, 27(3):467-496, 2019. details

  14. John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang. An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. Applied Soft Computing, 63:72-86, 2018. details

  15. Su Nguyen and Yi Mei and Mengjie Zhang. Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation. Genetic Programming and Evolvable Machines, 19(1-2):5-7, 2018. details

  16. Su Nguyen and Mengjie Zhang and Damminda Alahakoon and Kay Chen Tan. Visualizing the Evolution of Computer Programs for Genetic Programming. IEEE Computational Intelligence Magazine, 13(4):77-94, 2018. details

  17. Su Nguyen and Yi Mei and Mengjie Zhang. Genetic programming for production scheduling: a survey with a unified framework. Complex \& Intelligent Systems, 3(1) 2017. details

  18. Su Nguyen and Mengjie Zhang and Kay Chen Tan. Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules. IEEE Transactions on Cybernetics, 47(9):2951-2965, 2017. details

  19. Yi Mei and Su Nguyen and Bing Xue and Mengjie Zhang. An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(5):339-353, 2017. details

  20. Juergen Branke and Su Nguyen and Christoph Pickardt and Mengjie Zhang. Automated Design of Production Scheduling Heuristics: A Review. IEEE Transactions on Evolutionary Computation, 20(1):110-124, 2016. details

  21. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. IEEE Transactions on Cybernetics, 45(1):1-14, 2015. details

  22. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming. IEEE Transactions on Evolutionary Computation, 18(2):193-208, 2014. details

  23. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Genetic Programming for Evolving Due-date Assignment Models in Job Shop Environments. Evolutionary Computation, 22(1):105-138, 2014. details

  24. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Learning iterative dispatching rules for job shop scheduling with genetic programming. The International Journal of Advanced Manufacturing Technology, 67(1-4):85-100, 2013. details

  25. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem. IEEE Transactions on Evolutionary Computation, 17(5):621-639, 2013. details

  26. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Hybrid evolutionary computation methods for quay crane scheduling problems. Computer \& Operations Research, 40(8):2083-2093, 2013. details

  27. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling. IEEE Transactions on Evolutionary Computation. details

Genetic Programming Books by Su Nguyen

Genetic Programming PhD doctoral thesis Su Nguyen

Genetic Programming conference papers by Su Nguyen

  1. Su Nguyen and Dhananjay Thiruvady and Yuan Sun and Mengjie Zhang. Genetic-based Constraint Programming for Resource Constrained Job Scheduling. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 942-951, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Fangfang Zhang and Mengjie Zhang and Yi Mei and Su Nguyen. Genetic Programming and Machine Learning for Scheduling. In Gui DeSouza and Gary Yen editors, 2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, USA, 2023. details

  3. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling. In 2022 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1218-1225, 2022. details

  4. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  5. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. In Guenter Rudolph and Anna V. Kononova and Hernan E. Aguirre and Pascal Kerschke and Gabriela Ochoa and Tea Tusar editors, Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Proceedings, Part II, volume 13399, pages 48-62, Dortmund, Germany, 2022. Springer. details

  6. Marko Durasevic and Domagoj Jakobovic and Yi Mei and Su Nguyen and Mengjie Zhang. Introduction to automated design of scheduling heuristics with genetic programming. In Jonathan E. Fieldsend and Markus Wagner editors, GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9 - 13, 2022, pages 1506-1526, 2022. ACM. Tutorial. details

  7. Fangfang Zhang and Su Nguyen and Yi Mei and Mengjie Zhang. Adaptive Multitask Genetic Programming for Dynamic Job Shop Scheduling. In Genetic Programming for Production Scheduling, 2021. Springer. details

  8. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling. In L. Paquete and C. Zarges editors, European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP 2020), volume 12102, pages 214-230, Seville, Spain, 2020. Springer Verlag. details

  9. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. A Preliminary Approach to Evolutionary Multitasking for Dynamic Flexible Job Shop Scheduling via Genetic Programming. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 107-108, internet, 2020. Association for Computing Machinery. details

  10. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 262-278, Seville, Spain, 2020. Springer Verlag. details

  11. John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang. Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. In Tanja Mitrovic and Bing Xue and Xiaodong Li editors, Australasian Joint Conference on Artificial Intelligence, volume 11320, Wellington, New Zealand, 2018. Springer. details

  12. John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang. Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 253-270, Parma, Italy, 2018. Springer Verlag. details

  13. Su Nguyen and Dhananjay Thiruvady and Andreas Ernst and Damminda Alahakoon. Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling. In Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1167-1174, Kyoto, Japan, 2018. ACM. details

  14. Su Nguyen and Mengjie Zhang and Kay Chen Tan. Adaptive charting genetic programming for dynamic flexible job shop scheduling. In Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1159-1166, Kyoto, Japan, 2018. ACM. details

  15. Su Nguyen and Mengjie Zhang. A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 882-889, Donostia, San Sebastian, Spain, 2017. IEEE. details

  16. Yi Mei and Su Nguyen and Mengjie Zhang. Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling. In Yuhui Shi and Kay Chen Tan and Mengjie Zhang and Ke Tang and Xiaodong Li and Qingfu Zhang and Ying Tan and Martin Middendorf and Yaochu Jin editors, Proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, volume 10593, pages 435-447, Shenzhen, China, 2017. Springer. details

  17. John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang. Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown. In Markus Wagner and Xiaodong Li and Tim Hendtlass editors, Artificial Life and Computational Intelligence - Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings, volume 10142, pages 301-313, 2017. details

  18. Yi Mei and Su Nguyen and Mengjie Zhang. Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 147-163, Amsterdam, 2017. Springer Verlag. details

  19. John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang. Genetic Programming based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. In Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 115-132, Porto, Portugal, 2016. Springer Verlag. details

  20. Su Nguyen and Yi Mei and Hui Ma and Aaron Chen and Mengjie Zhang. Evolutionary Scheduling and Combinatorial Optimisation: Applications, Challenges, and Future Directions. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3053-3060, Vancouver, 2016. IEEE Press. details

  21. Yi Mei and Mengjie Zhang and Su Nguyen. Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 365-372, Denver, USA, 2016. ACM. details

  22. John Park and Su Nguyen and Mengjie Zhang and Mark Johnston. A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1451-1452, Madrid, Spain, 2015. ACM. details

  23. John Park and Su Nguyen and Mengjie Zhang and Mark Johnston. Evolving Ensembles of Dispatching Rules using Genetic Programming for Job Shop Scheduling. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 92-104, Copenhagen, 2015. Springer. details

  24. Su Nguyen and Mengjie Zhang and Kay Chen Tan. Enhancing Genetic Programming based Hyper-Heuristics for Dynamic Multi-objective Job Shop Scheduling Problems. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2781-2788, Sendai, Japan, 2015. IEEE Press. details

  25. Su Nguyen and Mengjie Zhang and Mark Johnston. Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 124-136, Granada, Spain, 2014. Springer. details

  26. John Park and Su Nguyen and Mengjie Zhang and Mark Johnston. Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 723-734, 2014. Springer. details

  27. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 656-667, 2014. Springer. details

  28. Su Nguyen and Mengjie Zhang and Mark Johnston. A Sequential Genetic Programming Method to Learn Forward Construction Heuristics for Order Acceptance and Scheduling. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1824-1831, Beijing, China, 2014. details

  29. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Learning Reusable Initial Solutions for Multi-Objective Order Acceptance and Scheduling Problems with Genetic Programming. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 157-168, Vienna, Austria, 2013. Springer Verlag. details

  30. John Park and Su Nguyen and Mengjie Zhang and Mark Johnston. Genetic Programming for Order Acceptance and Scheduling. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1005-1012, Cancun, Mexico, 2013. details

  31. John Park and Su Nguyen and Mark Johnston and Mengjie Zhang. Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming. In Stephen Cranefield and Abhaya Nayak editors, Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence (AI2013), volume 8272, pages 478-489, Dunedin, New Zealand, 2013. Springer. details

  32. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 121-133, Malaga, Spain, 2012. Springer Verlag. details

  33. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. In Lam Thu Bui and Yew-Soon Ong and Nguyen Xuan Hoai and Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan editors, The Ninth International Conference on Simulated Evolution And Learning, SEAL 2012, volume 7673, pages 341-350, Vietnam, 2012. Springer. details

  34. Su Nguyen and Mengjie Zhang and Mark Johnston and Tan Kay Chen. A Coevolution Genetic Programming Method to Evolve Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling Problems. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 3332-3339, Brisbane, Australia, 2012. details

Genetic Programming book chapters by Su Nguyen