Description
Simulated Evolution and Learning, 1st ed. 2017
11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings
Theoretical Computer Science and General Issues Series
Coordinators: Shi Yuhui, Tan Kay Chen, Zhang Mengjie, Tang Ke, Li Xiaodong, Zhang Qingfu, Tan Ying, Middendorf Martin, Jin Yaochu
Language: EnglishSubjects for Simulated Evolution and Learning:
Keywords
machine learning; artificial intelligence; evolutionary computation; genetic algorithms; evolutionary algorithms; particle swarm optimization; multiobjective optimization; genetic programming; pareto principle; computing methodologies; search technologies; modeling and simulation; algorithm design; algorithm analysis; evolutionary optimization; evolutionary learning; algorithm analysis and problem complexity
Support: Print on demand
Description
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The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.