74 citations · 446 across the 50 of their papers we have counts for
6 papers · 1 filter
Evolving Nano Particle Cancer Treatments with Multiple Particle Types
Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky +1
Evolutionary algorithms have long been used for optimization problems where the appropriate size of solutions is unclear a priori. The applicability of this methodology is here inv…
Are Artificial Dendrites useful in NeuroEvolution?
Larry Bull
The significant role of dendritic processing within neuronal networks has become increasingly clear. This letter explores the effects of including a simple dendrite-inspired mechan…
On the Baldwin Effect under Coevolution
Larry Bull
The potentially beneficial interaction between learning and evolution, the Baldwin effect, has long been established. This paper considers their interaction within a coevolutionary…
Exploring Distributed Control with the NK Model
Larry Bull
The NK model has been used widely to explore aspects of natural evolution and complex systems. This paper introduces a modified form of the NK model for exploring distributed contr…
Novelty search employed into the development of cancer treatment simulations
Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky +1
Conventional optimization methodologies may be hindered when the automated search is stuck into local optima because of a deceptive objective function landscape. Consequently, open…
Utilizing Differential Evolution into optimizing targeted cancer treatments
Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky +1
Working towards the development of an evolvable cancer treatment simulator, the investigation of Differential Evolution was considered, motivated by the high efficiency of variatio…