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AAAI
2008
15 years 6 months ago
Limits and Possibilities of BDDs in State Space Search
This paper investigates the impact of symbolic search for solving domain-independent action planning problems with binary decision diagrams (BDDs). Polynomial upper and exponential...
Stefan Edelkamp, Peter Kissmann
CORR
2012
Springer
185views Education» more  CORR 2012»
13 years 12 months ago
Bayesian network learning with cutting planes
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
James Cussens
CEC
2009
IEEE
15 years 11 months ago
Dispatching rules for production scheduling: A hyper-heuristic landscape analysis
— Hyper-heuristics or “heuristics to chose heuristics” are an emergent search methodology that seeks to automate the process of selecting or combining simpler heuristics in o...
Gabriela Ochoa, José Antonio Vázquez...
EVOW
2007
Springer
15 years 10 months ago
Iterated k-Opt Local Search for the Maximum Clique Problem
Abstract. This paper presents a simple iterated local search metaheuristic incorporating a k-opt local search (KLS), called Iterated KLS (IKLS for short), for solving the maximum c...
Kengo Katayama, Masashi Sadamatsu, Hiroyuki Narihi...
COMPSAC
2006
IEEE
15 years 10 months ago
Backtracking Algorithms and Search Heuristics to Generate Test Suites for Combinatorial Testing
Combinatorial covering arrays have been used in several testing approaches. This paper first discusses some existing methods for finding such arrays. Then a SAT-based approach a...
Jun Yan, Jian Zhang