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Generating approximate region boundaries from heterogeneous spatial information: an evolutionary approach

(2011) INFORMATION SCIENCES. 181(2). p.257-283
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RECOGNIZING STRING GRAPHS, CONSTRAINT SATISFACTION PROBLEMS, GENETIC ALGORITHM, TOPOLOGICAL CONSISTENCY, DIRECTION RELATIONS, KNOWLEDGE, NP, Spatial reasoning, Genetic algorithms, Ant colony optimization, Geographic information retrieval

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Chicago
Schockaert, Steven, Philip Smart, and Florian Twaroch. 2011. “Generating Approximate Region Boundaries from Heterogeneous Spatial Information: An Evolutionary Approach.” Information Sciences 181 (2): 257–283.
APA
Schockaert, S., Smart, P., & Twaroch, F. (2011). Generating approximate region boundaries from heterogeneous spatial information: an evolutionary approach. INFORMATION SCIENCES, 181(2), 257–283.
Vancouver
1.
Schockaert S, Smart P, Twaroch F. Generating approximate region boundaries from heterogeneous spatial information: an evolutionary approach. INFORMATION SCIENCES. 2011;181(2):257–83.
MLA
Schockaert, Steven, Philip Smart, and Florian Twaroch. “Generating Approximate Region Boundaries from Heterogeneous Spatial Information: An Evolutionary Approach.” INFORMATION SCIENCES 181.2 (2011): 257–283. Print.
@article{1578804,
  author       = {Schockaert, Steven and Smart, Philip and Twaroch, Florian},
  issn         = {0020-0255},
  journal      = {INFORMATION SCIENCES},
  keyword      = {RECOGNIZING STRING GRAPHS,CONSTRAINT SATISFACTION PROBLEMS,GENETIC ALGORITHM,TOPOLOGICAL CONSISTENCY,DIRECTION RELATIONS,KNOWLEDGE,NP,Spatial reasoning,Genetic algorithms,Ant colony optimization,Geographic information retrieval},
  language     = {eng},
  number       = {2},
  pages        = {257--283},
  title        = {Generating approximate region boundaries from heterogeneous spatial information: an evolutionary approach},
  url          = {http://dx.doi.org/10.1016/j.ins.2010.09.021},
  volume       = {181},
  year         = {2011},
}

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