Evolutionary granular computing model and applications

  • Authors:
  • Jiang Zhang;Xuewei Li

  • Affiliations:
  • School of economics and management, Beijing Jiaotong University, Beijing;School of economics and management, Beijing Jiaotong University, Beijing

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
  • Year:
  • 2005

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Abstract

The evolutionary granular computing model (EGCM) combining evolutionary computing and granular computing techniques is introduced in this paper. The model presents a new approach to simulate the cognition of human beings that can be viewed as the evolutionary process through the automatic learning from data sets. The information granule, which is the building block of cognition in EGCM, can be synthesized and created by the basic operators. It also can form the granules network by linking each other among granules. With learning from database, the system can evolve under the pressure of selection. The EGCM creates a dynamic model that can adapt to the environment.