Genetic Programming Bibliography entries for Hui Ma

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8081

GP coauthors/coeditors: Yuheng Chen, Tao Shi, Aaron Chen, Kirita-Rose Escott, Mathew Falloon, Anqi Wang, Mengjie Zhang, Su Nguyen, Yi Mei, Alexandre Sawczuk da Silva, Ewan Moshi, Sven Hartmann, Boxiong Tan, Chen Wang, Victoria Huang, Yongbo Yu, Kameron Christopher, Longfei Felix Yan, Yifan Yang, Yang Yu, Yalian Feng,

Genetic Programming Articles by Hui Ma

  1. Boxiong Tan and Hui Ma and Yi Mei and Mengjie Zhang. A Cooperative Coevolution Genetic Programming Hyper-Heuristic Approach for On-line Resource Allocation in Container-based Clouds. IEEE Transactions on Cloud Computing, 10(3):1500-1514, 2022. details

  2. Alexandre Sawczuk da Silva and Hui Ma and Mengjie Zhang. Genetic programming for QoS-aware web service composition and selection. Soft Computing, 20(10):3851-3867, 2016. details

  3. Hui Ma and Anqi Wang and Mengjie Zhang. A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition. Transactions on Large-Scale Data and Knowledge-Centered Systems, 8980:180-205, 2015. XVIII - Special Issue on Database and Expert-Systems Applications. details

  4. Yifan Yang and Gang Chen2 and Hui Ma and Sven Hartmann and Mengjie Zhang. Dual-Tree Genetic Programming With Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing. IEEE Transactions on Evolutionary Computation. Accepted for future publication. details

Genetic Programming conference papers by Hui Ma

  1. Longfei Felix Yan and Hui Ma and Gang Chen2. Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 988-997, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Mathew Falloon and Hui Ma and Aaron Chen. Energy-Aware Dynamic Resource Allocation and Container Migration in Cloud Servers: A Co-evolution GPHH Approach. In Ruhul Sarker and Patrick Siarry and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 1219-1227, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Chen Wang and Hui Ma and Gang Chen2 and Victoria Huang and Yongbo Yu and Kameron Christopher. Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. In Joao Correia and Stephen Smith and Raneem Qaddoura editors, 26th International Conference, EvoApplications 2023, volume 13989, pages 539-555, Brno, Czech Republic, 2023. Springer Verlag. details

  4. Kirita-Rose Escott and Hui Ma and Gang Chen2. Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing. In Leslie Perez Caceres and Thomas Stuetzle editors, 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2023, volume 13987, pages 146-161, Brno, Czech Republic, 2023. Springer. details

  5. Yuheng Chen and Tao Shi and Hui Ma and Gang Chen2. Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning. In Joao Correia and Stephen Smith and Raneem Qaddoura editors, 26th International Conference, EvoApplications 2023, volume 13989, pages 573-587, Brno, Czech Republic, 2023. Springer Verlag. details

  6. Yifan Yang and Gang Chen2 and Hui Ma and Mengjie Zhang. Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. In Service-Oriented Computing, 2022. Springer. details

  7. Yongbo Yu and Tao Shi and Hui Ma and Gang Chen2. A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  8. Yuheng Chen and Tao Shi and Hui Ma and Gang Chen2. Automatically Design Heuristics for Multi-Objective Location-Aware Service Brokering in Multi-Cloud. In 2022 IEEE International Conference on Services Computing (SCC), pages 206-214, Barcelona, Spain, 2022. details

  9. Yongbo Yu and Hui Ma and Gang Chen2. Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 1880-1887, Krakow, Poland, 2021. details

  10. Yifan Yang and Gang Chen2 and Hui Ma and Mengjie Zhang and Victoria Huang. Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 2141-2148, Krakow, Poland, 2021. details

  11. Kirita-Rose Escott and Hui Ma and Gang Chen2. A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), pages 3141-3148, 2020. details

  12. Kirita-Rose Escott and Hui Ma and Gang Chen2. Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud. In Sven Hartmann and Josef Kueng and Gabriele Kotsis and A Min Tjoa and Ismail Khalil editors, Database and Expert Systems Applications - 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings, Part II, volume 12392, pages 76-90, 2020. Springer. details

  13. Yongbo Yu and Yalian Feng and Hui Ma and Aaron Chen and Chen Wang. Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. In 2019 IEEE Congress on Evolutionary Computation (CEC), pages 3102-3109, 2019. details

  14. Boxiong Tan and Hui Ma and Yi Mei. A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2681-2688, Wellington, New Zealand, 2019. IEEE Press. details

  15. Boxiong Tan and Hui Ma and Yi Mei. A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds. In Tanja Mitrovic and Bing Xue and Xiaodong Li editors, Australasian Joint Conference on Artificial Intelligence, volume 11320, Wellington, New Zealand, 2018. Springer. details

  16. Alexandre Sawczuk da Silva and Yi Mei and Hui Ma and Mengjie Zhang. Fragment-based Genetic Programming for Fully Automated Multi-objective Web Service Composition. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 353-360, Berlin, Germany, 2017. ACM. details

  17. Alexandre Sawczuk da Silva and Ewan Moshi and Hui Ma and Sven Hartmann. A QoS-Aware Web Service Composition Approach Based on Genetic Programming and Graph Databases. In Djamal Benslimane and Ernesto Damiani and William I. Grosky and Abdelkader Hameurlain and Amit P. Sheth and Roland R. Wagner editors, Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part II, volume 10439, pages 37-44, 2017. Springer. details

  18. Chen Wang and Hui Ma and Aaron Chen and Sven Hartmann. GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition. In Yuhui Shi and Kay Chen Tan and Mengjie Zhang and Ke Tang and Xiaodong Li and Qingfu Zhang and Ying Tan and Martin Middendorf and Yaochu Jin editors, Proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL-2017, volume 10593, pages 170-183, Shenzhen, China, 2017. Springer. details

  19. Alexandre Sawczuk da Silva and Hui Ma and Mengjie Zhang. A Graph-based QoS-Aware Method for Web Service Composition with Branching. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 131-132, Denver, USA, 2016. ACM. details

  20. Yang Yu and Hui Ma and Mengjie Zhang. A genetic programming approach to distributed execution of data-intensive web service compositions. In Proceedings of the Australasian Computer Science Week Multiconference, ACSW '16, pages 29:1-29:9, Canberra, Australia, 2016. ACM. details

  21. Longfei Yan and Yi Mei and Hui Ma and Mengjie Zhang. Evolutionary Web Service Composition: A Graph-based Memetic Algorithm. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 201-208, Vancouver, 2016. IEEE Press. details

  22. Alexandre Sawczuk da Silva and Yi Mei and Hui Ma and Mengjie Zhang. A memetic algorithm-based indirect approach to web service composition. In 2016 IEEE Congress on Evolutionary Computation (CEC), pages 3385-3392, 2016. details

  23. Su Nguyen and Yi Mei and Hui Ma and Aaron Chen and Mengjie Zhang. Evolutionary Scheduling and Combinatorial Optimisation: Applications, Challenges, and Future Directions. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3053-3060, Vancouver, 2016. IEEE Press. details

  24. Alexandre Sawczuk da Silva and Hui Ma and Mengjie Zhang. A GP Approach to QoS-Aware Web Service Composition including Conditional Constraints. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2113-2120, Sendai, Japan, 2015. IEEE Press. details

  25. Yang Yu and Hui Ma and Mengjie Zhang. F-MOGP: A Novel Many-Objective Evolutionary Approach to QoS-Aware Data Intensive Web Service Composition. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2843-2850, Sendai, Japan, 2015. IEEE Press. details

  26. Alexandre Sawczuk da Silva and Hui Ma and Mengjie Zhang. A GP Approach to QoS-Aware Web Service Composition and Selection. In Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 180-191, Dunedin, New Zealand, 2014. Springer. details

  27. Yang Yu and Hui Ma and Mengjie Zhang. A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition. In Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 106-118, Dunedin, New Zealand, 2014. Springer. details

  28. Yang Yu and Hui Ma and Mengjie Zhang. A Genetic Programming Approach to Distributed QoS-Aware Web Service Composition. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1840-1846, Beijing, China, 2014. details

  29. Yang Yu and Hui Ma and Mengjie Zhang. An Adaptive Genetic Programming Approach to QoS-aware Web Services Composition. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1740-1747, Cancun, Mexico, 2013. details

  30. Anqi Wang and Hui Ma and Mengjie Zhang. Genetic Programming with Greedy Search for Web Service Composition. In Hendrik Decker and Lenka Lhotska and Sebastian Link and Josef Basl and A Min Tjoa editors, 24th International Conference on Database and Expert, DEXA 2013, volume 8056, pages 9-17, Prague, Czech Republic, 2013. Springer. details