1. Baluja, S.: Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. School of Computer Science, Carnegie Mellon University (1994)
2. Baluja, S., Davies, S.: Fast probabilistic modeling for combinatorial optimization. In: Proceedings of the Fifteenth National/Tenth Conference on Artificial Intelligence/Innovative Applications of Artificial Intelligence, AAAI 1998/IAAI 1998, pp. 469–476. American Association for Artificial Intelligence, Menlo Park (1998),
http://dl.acm.org/citation.cfm?id=295240.295718
3. Blazewicz, J., Lenstra, J., Rinnooy Kan, A.: Scheduling subject to resource constraints: classification and complexity. Discrete Applied Mathematics 5, 11–24 (1983)
4. Confessore, G., Giordani, S., Rismondo, S.: An auction based approach in decentralized project scheduling. In: Proc. of PMS 2002 International Workshop on Project Management and Scheduling, Valencia, pp. 110–113 (2002)
5. Confessore, G., Giordani, S., Rismondo, S.: A market-based multi-agent system model for decentralized multi-project scheduling. Annals of Operational Research 150, 115–135 (2007)