Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns
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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 the fitness of an individual as its contribution degree in the context of the set.
Nội dung trích xuất từ tài liệu:
Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns
Nội dung trích xuất từ tài liệu:
Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns
Tìm kiếm theo từ khóa liên quan:
Context-aware fitness functions Feature selection Genetic Programming Graph patterns Genetic Algorithm TTSP graphsGợi ý tài liệu liên quan:
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