According to our database1, John Park authored at least 18 papers between 2002 and 2018.
Legend:Book In proceedings Article PhD thesis Other
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput., 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
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
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.
Proceedings of the Genetic Programming - 19th European Conference, 2016
Challenges in representation learning: A report on three machine learning contests.
Neural Networks, 2015
A novel approach to IC, package and board co-optimization.
Proceedings of the Sixteenth International Symposium on Quality Electronic Design, 2015
A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop 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 Heuristics for Order Acceptance and Scheduling Using Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Challenges in Representation Learning: A report on three machine learning contests.
Challenges in Representation Learning: A Report on Three Machine Learning Contests.
Proceedings of the Neural Information Processing - 20th International 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
Query Directed Web Page Clustering Using Suffix Tree and Wikipedia Links.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012
Thinking outside of the chip.
Proceedings of the 2010 International Symposium on Physical Design, 2010
Comparative genomics approaches to study organism similarities and differences.
Journal of Biomedical Informatics, 2002