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20192024
most citedModular Grammatical Evolution for the Generation of Artificial Neural Networks

20 citations · 25 across the 6 of their papers we have counts for

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cs.SE2022

TPGen: A Self-Stabilizing GPU-Based Method for Prime and Test Paths Generation

Ebrahim Fazli, Ali Ebnenasir

This paper presents a novel scalable GPU-based method for Test Paths (TPs) and Prime Paths (PPs) Generation, called TPGen, used in structural testing and in test data generation. T…

cs.NE2022★ 20 cited

Modular Grammatical Evolution for the Generation of Artificial Neural Networks

Khabat Soltanian, Ali Ebnenasir, Mohsen Afsharchi

This paper presents a novel method, called Modular Grammatical Evolution (MGE), towards validating the hypothesis that restricting the solution space of NeuroEvolution to modular a…