Dr Chen Wang

Peer-reviewed journal articles

Wang, C., Huang, V., Chen, B., Chen, G., Ma, H., Chen, B., & Schmidt J. (2023, submitted to ITAI). Learning to Solve Climate Sensor Placement Problems with a Transformer. arXiv: arXiv:2310.12387 [cs.LG]

Wang, C., Ma, H., Chen, G., & Hartmann, S. (2022). Using an Estimation of Distribution Algorithm to achieve multitasking semantic web service composition. IEEE Transactions on Evolutionary Computation, 27(3), 490-504.

Wang, C., Ma, H., Chen, G., & Hartmann, S. (2021). Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition. IEEE Transactions on Evolutionary Computation, 26(3), 570-584.

Wang, C., Ma, H., Chen, G., Hartmann, S., & Branke, J. (2020). Robustness estimation and optimisation for semantic web service composition with stochastic service failures. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(1), 77-92.

Peer-reviewed conference proceedings

Huang, V., Wang, C., Datta, S., Chen, B., Chen, G., & Ma, H. (2023, Sep, Accepted). Evolving Epidemic Management Rules using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization. . In AI 2023: Advances in Artificial Intelligence: 36st Australasian Joint Conference, Wellington, New Zealand.

Wang, C., Ma, H., Chen, G., Huang, V., Yu, Y., & Christopher, K. (2023, April). Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. In International Conference on the Applications of Evolutionary Computation (Part of EvoStar) (pp. 539-555). Cham: Springer Nature Switzerland.

Huang, V., Wang, C., Ma, H., Chen, G., & Christopher, K. (2022, November). Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. In International Conference on Service-Oriented Computing (pp. 449-464). Cham: Springer Nature Switzerland.

Wang, C., Ma, H., Chen, G., & Hartmann, S. (2019). Towards robust web service composition with stochastic service failures based on a genetic algorithm. In AI 2019: Advances in Artificial Intelligence: 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2–5, 2019, Proceedings 32 (pp. 445-459). Springer International Publishing.

Wang, C., Ma, H., Chen, G., & Hartmann, S. (2019, June). Evolutionary multitasking for semantic web service composition. In 2019 IEEE Congress on Evolutionary Computation (CEC) (pp. 2490-2497). IEEE.

Yu, Y., Feng, Y., Ma, H., Chen, A., & Wang, C. (2019, June). Achieving flexible scheduling of heterogeneous workflows in cloud through a genetic programming based approach. In 2019 IEEE Congress on Evolutionary Computation (CEC) (pp. 3102-3109). IEEE.

Wang, C., Ma, H., & Chen, G. (2019). Using EDA-Based local search to improve the performance of nsga-ii for multiobjective semantic web service composition. In Database and Expert Systems Applications: 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II 30 (pp. 434-451). Springer International Publishing.

Wang, C., Ma, H., Chen, G., & Hartmann, S. (2019, July). A memetic NSGA-II with EDA-based local search for fully automated multiobjective web service composition. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 421-422).

Wang, C., Ma, H., Chen, G., & Hartmann, S. (2018). Towards fully automated semantic web service composition based on estimation of distribution algorithm. In AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings 31 (pp. 458-471). Springer International Publishing.

Wang, C., Ma, H., Chen, A., & Hartmann, S. (2018). Knowledge-driven automated web service composition—an EDA-based approach. In Web Information Systems Engineering–WISE 2018: 19th International Conference, Dubai, United Arab Emirates, November 12-15, 2018, Proceedings, Part II 19 (pp. 135-150). Springer International Publishing.

Wang, C., Ma, H., & Chen, G. (2018, July). EDA-based approach to comprehensive quality-aware automated semantic web service composition. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 147-148).

Wang, C., Ma, H., Chen, A., & Hartmann, S. (2017). GP-based approach to comprehensive quality-aware automated semantic web service composition. In Simulated Evolution and Learning: 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings 11 (pp. 170-183). Springer International Publishing.

Wang, C., Ma, H., Chen, A., & Hartmann, S. (2017). Comprehensive quality-aware automated semantic web service composition. In AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings 30 (pp. 195-207). Springer International Publishing.