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Gene Expression Programming With Structured Reusability

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Опубліковано в::International Journal of Cognitive Informatics & Natural Intelligence. vol. 19, no. 1 (2025), p. 1-28
Автор: Zheng, YaPing
Інші автори: He, Pei, Chang, Chi-Chang, Li, Kangshun
Опубліковано:
IGI Global
Предмети:
Stand structure
Cervical cancer
Evolutionary computation
Gene expression
Performance prediction
Genetic algorithms
Chromosomes
Programming
Standardization
Informatics
Code reuse
Malignancy
Efficiency
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Короткий огляд:In the field of evolutionary computation, gene expression programming (GEP) has been favored by the public because of its straightforward encoding method. Due to the coding rules for the head and tail on gene, the ability of gene to be constructed as an expression is limited, thereby limiting the expressiveness of individuals. In this article, a variant that uses the standard GEP individual structure and is based on code reuse strategy is proposed to maintain the concise individual representation advantage of GEP and improve the expressive ability of individual. This method can improve the accuracy of the individual and reduce the expression tree complexity. In addition, experiments conducted to predict the recurrence of cervical cancer and malignancy of breast cancer have demonstrated that the predicted performance of GEP and gene expression programming with structured reusability (SR-GEP) has performed better than that of C5.0, but SR-GEP performs best.
ISSN:1557-3958
1557-3966
DOI:10.4018/IJCINI.371417
Джерело:Biological Science Database