Delwedd Flaen

Gene Expression Programming With Structured Reusability

Wedi'i Gadw mewn:
Cyhoeddwyd yn:International Journal of Cognitive Informatics & Natural Intelligence. vol. 19, no. 1 (2025), p. 1-28
Prif Awdur: Zheng, YaPing
Awduron Eraill: He, Pei, Chang, Chi-Chang, Li, Kangshun
Cyhoeddwyd:
IGI Global
Pynciau:
Stand structure
Cervical cancer
Evolutionary computation
Gene expression
Performance prediction
Genetic algorithms
Chromosomes
Programming
Standardization
Informatics
Code reuse
Malignancy
Efficiency
Mynediad Ar-lein:Citation/Abstract
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Crynodeb: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
Ffynhonnell:Biological Science Database