| Topological crossover for the permutation representation |
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Genetic And Evolutionary Computation Conference
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Proceedings of the 2005 workshops on Genetic and evolutionary computation
table of contents
Washington, D.C.
SESSION: TheoryRep contributions
table of contents
Pages: 332 - 338
Year of Publication: 2005
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Downloads (6 Weeks): 3, Downloads (12 Months): 33, Citation Count: 5
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ABSTRACT
Topological crossovers are a class of representation-independent operators that are well-defined once a notion of distance over the solution space is defined. In this paper we explore how the topological framework applies to the permutation representation and in particular analyze the consequences of having more than one notion of distance available. Also, we study the interactions among distances and build a rational picture in which pre-existing recombination/crossover operators for permutation fit naturally. Lastly, we also analyze the application of topological crossover to TSP.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 5
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Yong-Hyuk Kim , Yourim Yoon , Alberto Moraglio , Byung-Ro Moon, Geometric crossover for multiway graph partitioning, Proceedings of the 8th annual conference on Genetic and evolutionary computation, July 08-12, 2006, Seattle, Washington, USA
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