Genetic Programming Bibliography entries for Deepak Karunakaran

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GP coauthors/coeditors: Steven E Dockter, Qi Chen, Agnes Yongshi Deng, Aaron Chen, Mengjie Zhang, Yi Mei,

Genetic Programming PhD doctoral thesis Deepak Karunakaran

• Deepak Karunakaran. Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment. PhD thesis, Computer Science, Victoria University of Wellington, New Zealand, 2019. details

Genetic Programming conference papers by Deepak Karunakaran

1. Steven Dockter and Deepak Karunakaran and Qi Chen and Yongshi Deng. Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming. In Pablo Garcia-Sanchez and Emma Hart and Sarah L. Thomson editors, 28th International Conference, EvoApplications 2025, volume 15612, pages 103-118, Trieste, Italy, 2025. Springer. details

2. Deepak Karunakaran and Yi Mei and Mengjie Zhang. Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1598-1605, 2019. details

3. Deepak Karunakaran and Yi Mei and Gang Chen2 and Mengjie Zhang. Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 434-441, Wellington, New Zealand, 2019. IEEE Press. details

4. Deepak Karunakaran and Yi Mei and Gang Chen2 and Mengjie Zhang. Sampling Heuristics for Multi-Objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. In Anne Auger and Carlos M. Fonseca and Nuno Lourenco and Penousal Machado and Luis Paquete and Darrell Whitley editors, 15th International Conference on Parallel Problem Solving from Nature, volume 11102, pages 347-359, Coimbra, Portugal, 2018. Springer. details

5. Deepak Karunakaran and Yi Mei and Gang Chen2 and Mengjie Zhang. Dynamic Job Shop Scheduling Under Uncertainty Using Genetic Programming. In Intelligent and Evolutionary Systems, 2017. Springer. details

6. Deepak Karunakaran and Yi Mei and Gang Chen2 and Mengjie Zhang. Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 364-371, Donostia, San Sebastian, Spain, 2017. IEEE. details

7. Deepak Karunakaran and Yi Mei and Gang Chen2 and Mengjie Zhang. Toward Evolving Dispatching Rules for Dynamic Job Shop Scheduling Under Uncertainty. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 282-289, Berlin, Germany, 2017. ACM. details

8. Deepak Karunakaran and Gang Chen2 and Mengjie Zhang. Parallel Multi-objective Job Shop Scheduling Using Genetic Programming. In Tapabrata Ray and Ruhul A. Sarker and Xiaodong Li editors, Artificial Life and Computational Intelligence - Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings, volume 9592, pages 234-245, 2016. Springer. details