Partial abductive inference in Bayesian belief networks (BBNs) is intended as the process of generating the K most probable con®gurations for a set of unobserved variables (the explanation set). This problem is NP-hard and so exact computation is not always possible. In previous works genetic algorithms (GAs) have been used to solve the problem in an… (More)

@article{Campos2001AcceleratingCE,
title={Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption},
author={Luis M. de Campos and Jos{\'e} A. G{\'a}mez and Seraf{\'i}n Moral},
journal={Int. J. Approx. Reasoning},
year={2001},
volume={27},
pages={121-142}
}