SUN Xiaoyan and GONG Dunwei, “Interactive Genetic Algorithms with Individual's Fuzzy and Stochastic Fitness,” Chinese Journal of Electronics, vol. 18, no. 4, pp. 619-624, 2009,
Citation: SUN Xiaoyan and GONG Dunwei, “Interactive Genetic Algorithms with Individual's Fuzzy and Stochastic Fitness,” Chinese Journal of Electronics, vol. 18, no. 4, pp. 619-624, 2009,

Interactive Genetic Algorithms with Individual's Fuzzy and Stochastic Fitness

  • Received Date: 2008-11-01
  • Rev Recd Date: 2008-12-01
  • Publish Date: 2009-11-25
  • We presented a novel interactive geneticalgorithm to effectively characterize a user's cognition onthe evaluated objects and the stochastic phenomena in theevolutionary process. A fuzzy number is adopted to express an individual's fitness to reflect a user's cognition,and a stochastic variable with normal distribution to depict the stochastic behavior in the fitness based on the error theory. The fuzzy number and the stochastic variableare transformed into different intervals with ? cut set leveland confidence level, respectively, and different individuals in the same generation are compared based on intervaldominance. The values of ? and stochastic parameter aredetermined according to the uncertainty degree of a user'scognition which is quantitatively described with the fuzzyentropy of a fuzzy number. Finally, the algorithm wasapplied to a fashion evolutionary design system and theexperimental results show its rationality and effciency.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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