High-order EDA

• Published in: 2009 International Conference on Machine Learning and Cybernetics Vol. 6; pp. 3616 - 3621
• Main Authors: Jin Zeng, Qing-Sheng Ren
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2009
• Subjects: Computer science; Constraint optimization; Convergence; Cybernetics; Electronic design automation and methodology; Estimation of distribution algorithm (EDA); Filters; Genetic algorithms; High-order EDA; History; Machine learning; Mathematics; Optimization methods

In this paper, we investigate the usage of history information for estimation of distribution algorithm (EDA). In EDA, the distribution is estimated from a set of selected individuals and then the estimated distribution model is used to generate new individuals. It needs large population size to con...