Users' Fuzzy Cognition Knowledge Learning in Interactive Evolutionary Computation and its Application

Abstract:

Article Preview

user in interactive evolutionary computation (IEC) has the characteristic of fuzzy cognition. Based on this, a method to learn users’ fuzzy cognition knowledge is given. The method includes the fuzzy expression of the basic elements of IEC such as search space, population, gene sense unit and so on. Then a method to increase the performance of IEC based on the knowledge of users’ fuzzy cognition is given. The above results enrich the researches of IEC users' cognition.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

245-250

DOI:

10.4028/www.scientific.net/AMR.204-210.245

Citation:

G. S. Hao et al., "Users' Fuzzy Cognition Knowledge Learning in Interactive Evolutionary Computation and its Application", Advanced Materials Research, Vols. 204-210, pp. 245-250, 2011

Online since:

February 2011

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Price:

$35.00

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