Multiclass classifier designing by Modified Crossover and Point Mutation technique using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Anwar Mohd Mansuri and Deepali Kelkar and 
                 Roopesh Kumar and Prithviraj Singh Rathore and Amit Jain",
  booktitle =    "Wireless and Optical Communications Networks (WOCN),
                 2012 Ninth International Conference on",
  title =        "Multiclass classifier designing by Modified Crossover
                 and Point Mutation technique using genetic
  year =         "2012",
  size =         "7 pages",
  abstract =     "A Multiclass classifier is an approach for designing
                 classifiers for an m-class (m>=2) problem using genetic
                 programming (GP). In this paper we proposed two methods
                 named Modified Crossover Method and a Point Mutation
                 method. In Point Mutation technique we are generating
                 the two child from single parent and selecting the one
                 child on the basis of fitness and also applying the
                 elitism on the child so that the mutation operation
                 does not reduce the fitness of the individual and in
                 Stepwise Crossover we select the two child for the next
                 generation on the basis of size, depth and fitness
                 along with elitism on each step from the six child
                 which is generated during crossover. To demonstrate our
                 approach we have designed a Multiclass Classifier using
                 GP by taking few benchmark datasets. The results
                 obtained show that by applying Modified crossover
                 together with Point Mutation improves the performance
                 of the classifier.",
  keywords =     "genetic algorithms, genetic programming, pattern
                 classification, GP, classifier performance, m-class
                 problem, modified crossover, multiclass classifier
                 design, point mutation technique, stepwise crossover,
                 Computers, Iris, Next generation networking, Sociology,
                 Statistics, Training, Classifier, Modified Crossover,
                 Point Mutation",
  DOI =          "doi:10.1109/WOCN.2012.6335563",
  ISSN =         "2151-7681",
  notes =        "Also known as \cite{6335563}",

Genetic Programming entries for Anwar Mohd Mansuri Deepali Kelkar Roopesh Kumar Prithviraj Singh Rathore Amit Jain