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- W2016388730 abstract "To find an optimal elimination ordering for Bayesian networks, a multi-heuristic-based ant colony system named MHC-HS-ACS is proposed. MHC-HS-ACS uses a set of heuristics to guide the ants to search solutions. The heuristic set can evolve with the searching procedure in an adaptive way. MHC-HS-ACS also utilizes a heuristic-based local search to accelerate its convergence. Computational experiments show that MHC-HS-ACS can find very high quality solutions." @default.
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- W2016388730 date "2010-09-01" @default.
- W2016388730 modified "2023-09-22" @default.
- W2016388730 title "An adaptive multi-heuristic ant colony system for finding optimal elimination orderings in Bayesian networks" @default.
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- W2016388730 doi "https://doi.org/10.1109/iceee.2010.5608653" @default.
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