hyper-heuristic and problem domainMy academic papers are available through the links below. For an abstract of each paper please follow the links at the foot of this page.

Adapting a Hyper-heuristic to Respond to Scalability Issues in Combinatorial Optimisation
Author: Richard J. Marshall
Publication: Masters Thesis, Victoria University of Wellington, New Zealand (2015)


A  Comparison Between Two Evolutionary Hyper-heuristics for Combinatorial Optimisation
Authors: Richard J. Marshall, Mark Johnston, Mengjie Zhang.
Publication: In Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL)
(2014), vol. 8886 of Lecture Notes in Computer Science, Springer, pp. 618–630.


Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem
Authors: Richard J. Marshall, Mark Johnston, Mengjie Zhang
Publication: In Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL)
(2014), vol. 8886 of Lecture Notes in Computer Science, Springer, pp. 668-679.


Hyper-heuristic Operator Selection and Acceptance Criteria
Authors: Richard J. Marshall, Mark Johnston, Mengjie Zhang
Publication: In Proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimization (2015), vol. 9026 of Lecture Notes in Computer Science, Springer, pp. 99-113


Integrating Rewards with the Freeze-tag Problem
Authors: Richard J. Marshall, Mark Johnston
Publication: In Proceedings of the 43rd annual conference of the Operational Research Society of New Zealand
(2008) pp. 228-237

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