We show how Genetic Programming (GP) can be used to evolve useful quantum computing artefacts of increasing sophistication and usefulness: firstly specific quantum circuits, then ...
Evolutionary algorithms (EA) are optimisation techniques inspired from natural evolution processes. They handle a population of individuals that evolve with the help of informatio...
Effective teaching of operating system concepts requires projects. This paper describes a series of operating system projects all based on a simple hardware simulator that have be...
Given an evolutionary optimization problem with many possible genotypes for each phenotype this study investigates if the evolved genes for a given phenotype are more robust to po...
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikk...