Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns

Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns

Abstract We propose aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns. The proposed fitness functions estimate the fitness of a set of correlated individuals rather than the sum of fitness of the individuals, and specify...

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Bibliographic Details
Main Authors: Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida
Format: Article
Language:English
Published: World Scientific Publishing 2018-06-01
Series:Vietnam Journal of Computer Science
Subjects:
Context-aware fitness functions
Feature selection
Genetic Programming
Graph patterns
Online Access:http://link.springer.com/article/10.1007/s40595-018-0118-8

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http://link.springer.com/article/10.1007/s40595-018-0118-8

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