In this paper, we resort to the TensorFlow framework investigate benefits of applying data vectorization and fitness caching methods domain evaluation in Genetic Programming. For purpose, an independent engine was developed, TensorGP, along with a testing suite extract comparative timing results across different architectures amongst both iterative vectorized approaches. Our performance benchma...

This paper reports a system based on the recently proposed evolutionary paradigm of gene expression programming (GEP). This enhanced system, called EGIPSYS, has features specially suited to deal with symbolic regression problems. Amongst the new features implemented in EGIPSYS are: new selection methods, chromosomes of variable length, a new approach to manipulating constants, new genetic opera...

In this paper, we exploit the flexibility of multi-objective fitness functions, and the efficiency of the model structure selection ability of a standard genetic programming (GP) with the parameter estimation power of classical regression via multi-gene genetic programming (MGGP), to propose a new fusion technique for image quality assessment (IQA) that is called Multi-measures Fusion based on ...

The aim of genetic programming is to evolve programs or functions (symbolic regression) thanks to artificial evolution. This technique is now mature and can routinely yield results on par with (or even better than) human intelligence. This chapter sums up the basics of genetic programming and outlines the main subtleties one should be aware of in order to obtain good results.

background: cutaneous and visceral leishmaniases are present in fars province in the south of iran. the current study aimed to evaluate the inter- and intragenic diversities of leishmania species isolated from patients with leishmaniasis in fars province, using pcr-based analyses and dna sequencing of  the n-acetylglucosamine-1-phosphate transferase ( nagt ) gene. methods: clinical samples were...

background the association between tumor necrosis factor-alpha (tnf-α) (-308 g/a) gene polymorphisms and level of tissue destruction and periodontal disease progression is not proved. objectives the present study investigated the stereological parameters of interdental papilla in chronic periodontitis (cp) patients with tnf-α (-308 g/a) gene polymorphisms. materials and methods sixty gingiva sa...