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Solving the MAXSAT problem using a multivariate EDA based o..:

, In: Proceedings of the 9th annual conference companion on Genetic and evolutionary computation,

Brownlee, Alexander E. I. ; McCall, John A. W. ; Brown, Deryck F. - p. 2423-2428 , 2007

Link: https://dl.acm.org/doi/10.1145/1274000.1274005

RT 
T1 <cTitle>Proceedings of the 9th annual conference companion on Genetic and evolutionary computation</cTitle>: T1 <Title>Solving the MAXSAT problem using a multivariate EDA based on Markov networks</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-1274005&Exemplar=1&LAN=DE
				
A1 Brownlee, Alexander E. I.
A1 McCall, John A. W.
A1 Brown, Deryck F.
PB ACM
YR 2007
K1 estimation of distribution algorithms
K1 evolutionary algorithms
K1 probabilistic modelling
K1 Computing methodologies
K1 Artificial intelligence
K1 Search methodologies
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Algorithm design techniques
K1 Dynamic programming
K1 Control methods
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic algorithms
K1 Probabilistic reasoning algorithms
K1 Sequential Monte Carlo methods
K1 Markov-chain Monte Carlo methods
K1 Stochastic processes
SP 2423
OP 2428
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1274000.1274005
DO https://dl.acm.org/doi/10.1145/1274000.1274005
SF ELIB - SuUB Bremen

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