Genetic Programming Bibliography entries for Gang Chen
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Created by W.Langdon from
gp-bibliography.bib Revision:1.7072
GP coauthors/coeditors:
Yuheng Chen,
Tao Shi,
Hui Ma,
Kirita-Rose Escott,
Deepak Karunakaran,
Yi Mei,
Mengjie Zhang,
Atiya Masood,
Harith Al-Sahaf,
He Ni,
Fengrui Sun,
Yifan Yang,
Genetic Programming conference papers by Gang Chen
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Yifan Yang and Gang Chen and Hui Ma and Mengjie Zhang.
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. In
Service-Oriented Computing, 2022. Springer.
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Atiya Masood and Gang Chen and Yi Mei and Harith Al-Sahaf and Mengjie Zhang.
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. In
Carlos A. Coello Coello and Sanaz Mostaghim editors,
2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022.
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Yuheng Chen and Tao Shi and Hui Ma and Gang Chen.
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, 2022.
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Kirita-Rose Escott and Hui Ma and Gang Chen.
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.
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Kirita-Rose Escott and Hui Ma and Gang Chen.
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.
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Deepak Karunakaran and Yi Mei and Gang Chen and Mengjie Zhang.
Dynamic Job Shop Scheduling Under Uncertainty Using Genetic Programming. In
Intelligent and Evolutionary Systems, 2017. Springer.
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He Ni and Gang Chen and Fengrui Sun.
The convergence strategies and pause matter for evolutionary modeling. In
29th Chinese Control Conference (CCC 2010), pages 5216-5223, 2010.
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