Applications of Evolutionary Computation - 17th European Conference, EvoApplications

By A. Azar, Agoston E. Eiben, A. Agapitos, Anabela Sim oes, A. Tettamanzi, A. D. Cioppa, Antonio M. Mora, Carlos Cotta, E. Tarantino, E. Haasdijk and 18 more. 2014

19 citations recorded by the source corpus.

Subfields: Evolutionary Computation

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In Evolutionary Computation

1. Xin He
2. Kaiyong Zhao
3. Xiaowen Chu

Citations in the corpus

• AutoML: A Survey of the State-of-the-Art (2019, methodology): “Although there are several pipeline libraries proposed, such as TPOT [138] and Auto-Sklearn [139], they all lack the procedure of data collection, a process that is usually finished manually and therefore time-consuming and tedious.”
• P4ML: A Phased Performance-Based Pipeline Planner for Automated Machine Learning (2018, methodology): “A very different approach was used in TPOT, which relies on genetic algorithms to explore combinations of steps that lead to better performance (Olson et al., 2016b).”