4 papers
SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications
Matthew Andres Moreno, Santiago Rodriguez Papa, Alexander Lalejini +1
Event-driven genetic programming representations have been shown to outperform traditional imperative representations on interaction-intensive problems. The event-driven approach o…
An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality
Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria
Parent selection algorithms (selection schemes) steer populations through a problem's search space, often trading off between exploitation and exploration. Understanding how select…
Tag-based regulation of modules in genetic programming improves context-dependent problem solving
Alexander Lalejini, Matthew Andres Moreno, Charles Ofria
We introduce and experimentally demonstrate the utility of tag-based genetic regulation, a new genetic programming (GP) technique that allows programs to dynamically adjust which c…
Evolving Event-driven Programs with SignalGP
Alexander Lalejini, Charles Ofria
We present SignalGP, a new genetic programming (GP) technique designed to incorporate the event-driven programming paradigm into computational evolution's toolbox. Event-driven pro…