Research topics in discrete estimation of distribution algorithms based on factorizations Export

@article{citeulike:4181121, abstract = {Abstract\ \ In this paper, we identify a number of topics relevant for the improvement and development of discrete estimation of distribution algorithms. Focusing on the role of probability distributions and factorizations in estimation of distribution algorithms, we present a survey of current challenges where further research must provide answers that extend the potential and applicability of these algorithms. In each case we state the research topic and elaborate on the reasons that make it relevant for estimation of distribution algorithms. In some cases current work or possible alternatives for the solution of the problem are discussed.}, author = {Santana, Roberto and Larra\~{n}aga, Pedro and Lozano, Jose}, citeulike-article-id = {4181121}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s12293-008-0002-7}, citeulike-linkout-1 = {http://www.springerlink.com/content/f18457417h215573}, day = {1}, doi = {10.1007/s12293-008-0002-7}, journal = {Memetic Computing}, keywords = {eda-theory, edas, graphical-models, graphs, learning}, month = {March}, number = {1}, pages = {35--54}, posted-at = {2009-06-25 16:57:15}, priority = {2}, title = {Research topics in discrete estimation of distribution algorithms based on factorizations}, url = {http://dx.doi.org/10.1007/s12293-008-0002-7}, volume = {1}, year = {2009} }

TY - JOUR ID - citeulike:4181121 L3 - citeulike-article-id:4181121 N2 - Abstract  In this paper, we identify a number of topics relevant for the improvement and development of discrete estimation of distribution algorithms. Focusing on the role of probability distributions and factorizations in estimation of distribution algorithms, we present a survey of current challenges where further research must provide answers that extend the potential and applicability of these algorithms. In each case we state the research topic and elaborate on the reasons that make it relevant for estimation of distribution algorithms. In some cases current work or possible alternatives for the solution of the problem are discussed. IS - 1 JF - Memetic Computing EP - 54 TI - Research topics in discrete estimation of distribution algorithms based on factorizations VL - 1 SP - 35 KW - eda-theory KW - edas KW - graphical-models KW - graphs KW - learning AU - Santana, Roberto AU - Larrañaga, Pedro AU - Lozano, Jose PY - 2009/03/01/ UR - http://dx.doi.org/10.1007/s12293-008-0002-7 ER -