A study of the effectiveness of detailed balance in avoiding convergence in PBIL
(2004)
Book Chapter
Correa, E., & Shapiro, J. (2004). A study of the effectiveness of detailed balance in avoiding convergence in PBIL. In A. Lotfi, & J. Garibaldi (Eds.), Applications and Science in Soft Computing (255-260). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-45240-9
Estimation of distribution algorithms (EDAs) are a class of evolutionary algorithms that use statistical information to guide the exploration of the search space. A prominent problem in EDAs is the loss of variability as the search progresses. This o... Read More about A study of the effectiveness of detailed balance in avoiding convergence in PBIL.