1. Bosman, P.A., Thierens, D.: Advancing continuous ideas with mixture distributions and factorization selection metrics. In: Proceedings of the Optimization by Building and Using Probabilistic Models OBUPM Workshop at the Genetic and Evolutionary Computation Conference GECCO 2001, pp. 208–212. Morgan Kaufmann (2001)
2. Bosman, P.A.N., Grahl, J., Rothlauf, F.: SDR: A Better Trigger for Adaptive Variance Scaling in Normal EDAs. In: GECCO 2007: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, pp. 516–522. ACM (2007)
3. Cai, Y., Sun, X., Xu, H., Jia, P.: Cross entropy and adaptive variance scaling in continuous eda. In: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, GECCO 2007, pp. 609–616. ACM, New York (2007), doi:10.1145/1276958.1277081
4. Lecture Notes in Computer Science;D.-Y. Cho,2004
5. Dong, W., Yao, X.: NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization. In: IEEE Congress on Evolutionary Computation, pp. 1260–1267 (2008)