Simulated Evolution and Learning
11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings
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Beschreibung
This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017.
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.
Includes supplementary material: sn.pub/extras
Autor*in
Yuhui Shi
Themen in »Simulated Evolution and Learning«
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