1. S. Baluja, Population-based incremental learning – a method for integrating genetic search based function optimization and competitive learning. Technical report, Carnegie Mellon University, 1994, CMU-CS-94-163.
2. J. Branke, C. Lode, J.L. Shapiro, Addressing sampling errors and diversity loss in UMDA, in: Proceedings of the 9th Annual Genetic and Evolutionary Computation Conference, 2007, pp. 508–515.
3. Soft Computing in Industrial Applications, Volume 39/2007 of Advances in Soft Computing, Chapter Population-Based Incremental Learning for Multiobjective Optimisation;Bureeret,2007
4. K.A. Folly, Robust controller design based on a combination of genetic algorithms and competitive learning, in: International Joint Conference on Neural Networks, 2007, pp. 3045–3050.
5. Messy genetic algorithms: motivation, analysis, and first results;Goldberg;Complex Systems,1989