1. Alba, E.: Parallel evolutionary algorithms can achieve super-linear performance. Inf. Process. Lett. 82(1), 7–13 (2002)
2. Alba, E., Saucedo, J.F., Luque, G.: A Study of Canonical GAs for NSOPs. In: Panmictic versus Decentralized Genetic Algorithms for Non-Stationary Problems, ch. 13, pp. 246–260. Springer, Heidelberg (2007)
3. Branke, J., Mattfeld, D.C.: Anticipation and flexibility in dynamic scheduling. International Journal of Production Research 43(15), 3103–3129 (2005)
4. Cámara, M., Ortega, J., de Toro, F.J.: A diversity enhanced single front multiobjective algorithm for dynamic optimization problems. In: Proceedings of the 1st International Conference on Metaheuristics and Nature Inspired Computing, META 2008 (2008)
5. Cámara, M., Ortega, J., de Toro, F.J.: Parallel processing for multi-objective optimization in dynamic environments. In: Proceedings of The 21st International Parallel and Distributed Processing Symposium, IPDPS 2007 (2007), doi:10.1109/IPDPS.2007.370433