An improved evolutionary approach-based hybrid algorithm for Bayesian network structure learning in dynamic constrained search space
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3650-7
Abstract: Learning Bayesian network (BN) structures from data is a NP-hard problem due to the vastness of the solution space. To address this issue, hybrid approaches that integrate the constraint-based (CB) method and the score-and-search (SS)… read more here.
Keywords: search space; space; search; bayesian network ... See more keywords
Constrained Search via Penalization for Continuous Simulation Optimization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2020.2968548
Abstract: This article presents a constrained search via penalization (CSP) framework for solving continuous simulation optimization problems involving stochastic constraints. Rather than addressing feasibility separately, CSP utilizes a penalty function method to convert the original problem… read more here.
Keywords: constrained search; simulation optimization; search via; search ... See more keywords