By Dr Zoltan Kocsis

Conference Papers

Swan J; Krawiec K; Kocsis ZA, 2019, 'Stochastic program synthesis via recursion schemes', in Gecco 2019 Companion Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, pp. 35 - 36, http://dx.doi.org/10.1145/3319619.3326758

Kocsis ZA; Drake JH; Carson D; Swan J, 2016, 'Automatic improvement of apache spark queries using semantics-preserving program reduction', in Gecco 2016 Companion Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 1141 - 1146, http://dx.doi.org/10.1145/2908961.2931692

Burles N; Swan J; Bowles E; Brownlee AEI; Kocsis ZA; Veerapen N, 2015, 'Embedded dynamic improvement', in Gecco 2015 Companion Publication of the 2015 Genetic and Evolutionary Computation Conference, pp. 831 - 832, http://dx.doi.org/10.1145/2739482.2768423

Kocsis ZA; Brownlee AEI; Swan J; Senington R, 2015, 'Haiku - A Scala combinator toolkit for semi-automated composition of metaheuristics', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 125 - 140, http://dx.doi.org/10.1007/978-3-319-22183-0_9

Burles N; Bowles E; Brownlee AEI; Kocsis ZA; Swan J; Veerapen N, 2015, 'Object-oriented genetic improvement for improved energy consumption in Google Guava', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 255 - 261, http://dx.doi.org/10.1007/978-3-319-22183-0_20

Kocsis ZA; Neumann G; Swan J; Epitropakis MG; Brownlee AEI; Haraldsson SO; Bowles E, 2014, 'Repairing and optimizing hadoop hashCode implementations', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 259 - 264

Swan J; Kocsis ZA; Lisitsa A, 2014, 'The 'representative' metaheuristic design pattern', in Gecco 2014 Companion Publication of the 2014 Genetic and Evolutionary Computation Conference, pp. 1435 - 1436, http://dx.doi.org/10.1145/2598394.2609842

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