16 citations · 31 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Haploid-Diploid Evolution: Nature's Memetic Algorithm
Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky +1
This paper uses a recent explanation for the fundamental haploid-diploid lifecycle of eukaryotic organisms to present a new memetic algorithm that differs from all previous known w…