Despite over twenty years of research and application, assisted seismic history matching
(ASHM) remains a challenging problem for the energy industry. ASHM attempts to optimise …

Generative art produces artistic output via algorithmic design. Common examples include
flow fields, particle motion, and mathematical formula visualization. Typically an art piece is …

The automatic construction of an image filter is a difficult task for which many recent machine-
learning methods have been proposed. Cartesian Genetic Programming (CGP) has been …

Generative art is a domain in which artistic output is created via a procedure or heuristic that
may result in digital and/or physical results. A generative artist will typically act as a domain …

Multi-Niche Constraint Satisfaction problems are common in applications of evolutionary
computation for industrial design, where the optimization algorithm is used as a preparatory …

Lexicase selection is an effective many-objective evolutionary algorithm across many
problem domains. Lexicase can be computationally expensive, especially in areas like …

A characteristic of human learning is the ability to obtain knowledge from tasks solved in the
past and apply the obtained knowledge when solving tasks in the future. The learning …