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• W1490556985 abstract "When CBR is applied to E-Commerce product configuration, the case adaptation method plays a central role. For many years an automatic case adaptation method has always been an object of CBR study. Genetic algorithms can be employed in case adaptation process. This paper presented a new case adaptation method using genetic algorithms for E-Commerce product configuration. The new adaptation method has two features. First, it uses crossover and mutation mechanisms of genetic algorithms (GAs) to adapt similar case(s) retrieved. Second, it uses case-similarity for optimization while constraint knowledge is utilized to construct feasible solution space. To evaluate the presented method, a test was carried out on a real world personal computers configuration dataset, and promising results show the efficiency and effectiveness of the new method." @default.
• W1490556985 created "2016-06-24" @default.
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• W1490556985 date "2004-01-01" @default.
• W1490556985 modified "2023-09-22" @default.
• W1490556985 title "A Case Adaptation Method Integrated with Genetic Algorithms for E-Commerce Product Configuration" @default.
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