1. Baluja, S., 1994. Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning. Technical Report CMU-CS-94-163, Carnegie Mellon University Pittsburgh, PA.
2. Baluja, S., Davies, S., 1997. Using optimal dependency-trees for combinatorial optimization: learning the structure of the search space. In: Proceedings of the 14th International Conference on Machine Learning, San Francisco, 30–38.
3. Inexact graph matching for model-based recognition: evaluation and comparison of optimization algorithms;Cesar;Pattern Recognition,2005
4. Solving distributed FMS scheduling problems subject to maintenance: genetic algorithms approach;Chan;Robotics and Computer-Integrated Manufacturing,2006
5. An adaptive genetic algorithm with dominated genes for distributed scheduling problems;Chan;Expert Systems with Applications,2005