Immigration is generally considered an option in genetic algorithms, but I have found immigration to be extremely useful in almost all situations where I use evolutionary optimization. The idea of ...

Nicholas K. Logan, CEH is a graduating senior in the information assurance program of the School of Business and Management at Norwich University. As one of his essays in the IS342 Management of ...

Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of ...

Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

A novel orthotopic murine model of neuroendocrine bladder cancer: Insights into the phenotypic plasticity of small cell bladder cancer (SCBC). Comparing progression-free survival (PFS) in second-line ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of rules a ...