Deepak Karunakaran

PhD Student School of Engineering and Computer Science

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Thesis Info


Thesis title: Adversarial Hyper-heuristics for Online Scheduling.
Research Interests

Artificial Intelligence, Combinatorial Optimization, Adversarial Learning.

Karunakaran, Deepak, et al. "Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty." Proceedings of the Genetic and Evolutionary Computation Conference. ACM, 2017.

Karunakaran, Deepak, et al. "Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times." Evolutionary Computation (CEC), 2017 IEEE Congress on . IEEE, 2017.

Karunakaran, Deepak, et al. "Parallel multi-objective job shop scheduling using genetic programming." Australasian Conference on Artificial Life and Computational Intelligence. Springer, Cham, 2016.

Karunakaran, Deepak, et al. "Dynamic job shop scheduling under uncertainty using genetic programming." Intelligent and Evolutionary Systems: The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings. Springer International Publishing, 2017.

Karunakaran, Deepak, et al. "A Petri net simulation of software development lifecycle towards green IT." Open Systems (ICOS), 2013 IEEE Conference on. IEEE, 2013.

Karunakaran/ABB, D., Sundaravaradan/ABB, J., Ghosh/ABB, S., Ramaswamy/ABB, S., Vaidyanathan/ABB, A., & Srinivasan/ABB, S. (2013). U.S. Patent No. WO 2013098626 A1. Washington, DC: U.S. Patent and Trademark Office. A SYSTEM AND A METHOD FOR PERFORMING ENGINEERING FOR INDUSTRIAL AUTOMATION SYSTEM.

Srivastava, A., Karunakaran, D., Kumar, S., Narayana, V. B., Halakatti, V., & Rao, S. Higher Dimensional Games of Life, 2009.

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Topic revision: 04 Jan 2018, deepak