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An improved clustering algorithm for product family design of paper currency sorter

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Indexed by:期刊论文

Date of Publication:2012-08-01

Journal:ICIC Express Letters, Part B: Applications

Included Journals:EI、Scopus

Volume:3

Issue:4

Page Number:909-915

ISSN No.:21852766

Abstract:The decision of product platform is a very important groundwork in the modularized product family design of paper currency sorter. An improved clustering algorithm for the decision of product platform is proposed by combining fuzzy C-means (FCM) with the shuffled frog leaping algorithm (SFLA). The number of fuzzy clustering and cluster centers are optimized by an improved SFLA with changeable individual length to obtain the optimized fuzzy division of the components of paper currency sorter. Cut operator and splice operator are used to form a new individual. Simulation results of the product family design of paper currency sorter show that the proposed algorithm provides quantity mathematic analysis and fast configuration for the product modulation design. ? 2012 ICIC International.

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