Case-Based Reasoning Based on Good-Point-Set Genetic Algorithm and its Application

Rui Yu Jia; Zhao Hong Jia; Jin Wei Geng

doi:10.4028/www.scientific.net/AMR.217-218.886

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 217-218Case-Based Reasoning Based on Good-Point-Set...

Case-Based Reasoning Based on Good-Point-Set Genetic Algorithm and its Application

Abstract:

This paper discusses two intelligent learning methods—Genetic Algorithms (GA) and Case- based Reasoning (CBR), and analyses the shortcomings of the current techniques of CBR. The new idea is put forward by using the GA and good-point-set to solve the problems of CBR. An improved GA and Good-point-set GA are quoted here. We have applied the two GAs to assign the weights automatically of attributes in CBR systems.

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Periodical:

Advanced Materials Research (Volumes 217-218)

Pages:

886-892

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.217-218.886

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Online since:

March 2011

Authors:

Rui Yu Jia, Zhao Hong Jia, Jin Wei Geng

Keywords:

Case-Based Reasoning (CBR), Genetic Algorithm (GA), Good-Point-Set (GPS), Weight

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