The MAP-Elites algorithm produces a set of high-performing solutions that vary according to
features defined by the user. This technique to'illuminate'the problem space through the lens …

The use of high-fidelity computational simulations promises to enable high-throughput
hypothesis testing and optimisation of cancer therapies. However, increasing realism comes …

Generative machine learning is poised to revolutionise a range of domains where rational
design has long been the de facto approach: where design is practically a time consuming …

Abstract Model management is an essential component in data-driven surrogate-assisted
evolutionary optimization. In model management, the solutions with a large degree of …

Most of the existing wind power comes from the use of traditional Horizontal-Axis Wind
Turbines (HAWT), which typically require installation over vast countryside areas (in wind …

Microbial fuel cells (MFCs) perform wastewater treatment and electricity production through
the conversion of organic matter using microorganisms. For practical applications, it has …

Abstract Design mining is the use of computational intelligence techniques to iteratively
search and model the attribute space of physical objects evaluated directly through rapid …

Optimization plays an essential role in industrial design, but all too often it boils down to a
simple function to be minimized, such as cost or strength. More difficult considerations such …

In this paper, wind turbine blade design parameters chord length and local pitch angle have
been optimized through dynamic particle swarm optimization and differential evolution …

We propose Neural Estimation of Interaction Outcomes (NEIO), a method that reduces the
number of required interactions between candidate solutions and tests in test-based …