This paper discusses the development of an open source tool ACRO, (Autom...
We present AI-SDC, an integrated suite of open source Python tools to
fa...
This article presents the first results from using a learning classifier...
Autoencoders enable data dimensionality reduction and are a key componen...
The use of high-fidelity computational simulations promises to enable
hi...
Hypergraph partitioning is an NP-hard problem that occurs in many comput...
Microbial fuel cells (MFCs) perform wastewater treatment and electricity...
Design mining is the use of computational intelligence techniques to
ite...
An initial study of surrogate-assisted evolutionary algorithms used to d...
The production of renewable and sustainable energy is one of the most
im...
Renewable and sustainable energy is one of the most important challenges...
A number of representation schemes have been presented for use within
Le...
A number of representation schemes have been presented for use within
Le...
We have recently presented an initial study of evolutionary algorithms u...
A number of representation schemes have been presented for use within
le...