Experimental study on population-based incremental learning algorithms for dynamic optimization problems

By Shengxiang Yang, Xin Yao. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2005

310 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/c54fdf64d0a0c06feaae73058041bde255c487ff

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shengxiang Yang
2. Trung-Thanh Nguyen
3. J. Branke
4. Yaochu Jin
5. Changhe Li
6. Qingfu Zhang
7. Xin Yao
8. Aimin Zhou

In Computational Theory and Mathematics

1. Shengxiang Yang
2. Trung-Thanh Nguyen
3. J. Branke
4. Yaochu Jin
5. Changhe Li
6. Xin Yao
7. Qingfu Zhang
8. Aimin Zhou

Citations in the corpus

• Evolutionary dynamic optimization: A survey of the state of the art (2012, methodology): “To improve 653 PBIL2 in dealing with large changes, Yang and Yao [91] proposed the DPBIL 654 where two probability vectors are dual with each other, i.”