activity
20172022
most citedHaploid-Diploid Evolution: Nature's Memetic Algorithm

4 citations · 6 across the 7 of their papers we have counts for

collaborators

15 papers

cs.ET2022

Reactive fungal insoles

Anna Nikolaidou, Neil Phillips, Michail-Antisthenis Tsompanas +1

Mycelium bound composites are promising materials for a diverse range of applications including wearables and building elements. Their functionality surpasses some of the capabilit…

cs.ET2021

On electrical gates on fungal colony

Alexander E. Beasley, Phil Ayres, Martin Tegelaar +2

Mycelium networks are promising substrates for designing unconventional computing devices providing rich topologies and geometries where signals propagate and interact. Fulfilling…

cs.NE2021

Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment

Namid Stillman, Igor Balaz, Antisthenis Tsompanas +5

We present the EVONANO platform for the evolution of nanomedicines with application to anti-cancer treatments. EVONANO includes a simulator to grow tumours, extract representative…

cs.NE20202 cited

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…

cs.NE2020

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…

cs.NE2020

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…