Evolutionary Learning of Graph Layout Constraints from Examples

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Toshiyuki Masui",
  title =        "Evolutionary Learning of Graph Layout Constraints from
  booktitle =    "Proceedings of the ACM Symposium on User Interface
                 Software and Technology",
  series =       "Demonstrational User Interfaces",
  pages =        "103--108",
  year =         "1994",
  copyright =    "(c) Copyright 1994 Association for Computing
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming, Graphic
                 object layout, Graph layout, Programming by example,
                 Adaptive user interface",
  URL =          "http://delivery.acm.org/10.1145/200000/192468/p103-masui.pdf?key1=192468&key2=4873616011&coll=GUIDE&dl=GUIDE&CFID=36810799&CFTOKEN=40084029",
  URL =          "http://www.acm.org/pubs/articles/proceedings/uist/192426/p103-masui/p103-masui.pdf",
  size =         "6 pages",
  abstract =     "We propose a new evolutionary method of extracting
                 user preferences from examples shown to an automatic
                 graph layout system. Using stochastic methods such as
                 simulated annealing and genetic algorithms, automatic
                 layout systems can find a good layout using an
                 evaluation function which can calculate how good a
                 given layout is. However, the evaluation function is
                 usually not known beforehand, and it might vary from
                 user to user. In our system, users show the system
                 several pairs of good and bad layout examples, and the
                 system infers the evaluation function from the examples
                 using genetic programming technique. After the
                 evaluation function evolves to reflect the preferences
                 of the user, it is used as a general evaluation
                 function for laying out graphs. The same technique can
                 be used for a wide range of adaptive user interface
  notes =        "MRnumber = C.UIST.94.103",

Genetic Programming entries for Toshiyuki Masui