2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) 2008
DOI: 10.1109/cec.2008.4630933
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An evolutionary algorithm for the 2-page crossing number problem

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Cited by 3 publications
(3 citation statements)
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“…The smlDgrDFS heuristic starts with a smallest degree vertex and chooses a neighbor with smallest degree to proceed. random DFS (randDFS) [3]. In contrast to smlDgrDFS, randDFS starts with a random vertex and proceeds with a random neighbor.…”
Section: Vo Heuristicsmentioning
confidence: 99%
See 1 more Smart Citation
“…The smlDgrDFS heuristic starts with a smallest degree vertex and chooses a neighbor with smallest degree to proceed. random DFS (randDFS) [3]. In contrast to smlDgrDFS, randDFS starts with a random vertex and proceeds with a random neighbor.…”
Section: Vo Heuristicsmentioning
confidence: 99%
“…There are several heuristics for 2-page crossing minimization [8][9][10] with a fixed linear vertex ordering, as well as algorithms for the general 2-page crossing minimization problem [21,22]. Genetic and evolutionary crossing minimization algorithms have been proposed for one page [18], two pages [3,19,31], and any number of pages [33]. Further, neural networks have been used for 2-page crossing minimization [20,37] and for k-page crossing minimization [28].…”
Section: Introductionmentioning
confidence: 99%
“…It is worthy to mention here that the use of unary operator for producing a child is suggested by Fogel et al (1966), Eiben and Schippers (1998). In addition, such operators have been used in the EAs designed for graph layout problems (Bansal et al 2008;Sharma and Srivastava 2009). …”
Section: Reproductionmentioning
confidence: 99%