no code implementations • 1 Feb 2021 • Namid Stillman, Igor Balaz, Antisthenis Tsompanas, Marina Kovacevic, Sepinoud Azimi, Sebastien Lafond, Andrew Adamatzky, Sabine Hauert
We present the EVONANO platform for the evolution of nanomedicines with application to anti-cancer treatments.
no code implementations • 10 Nov 2020 • Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
Utilizing a treatment comprising of multiple types of NPs is expected to be more effective due to the higher complexity of the treatment.
no code implementations • 21 Mar 2020 • Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
Conventional optimization methodologies may be hindered when the automated search is stuck into local optima because of a deceptive objective function landscape.
no code implementations • 21 Mar 2020 • Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
Working towards the development of an evolvable cancer treatment simulator, the investigation of Differential Evolution was considered, motivated by the high efficiency of variations of this technique in real-valued problems.
no code implementations • 13 Nov 2019 • Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
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 work using diploid representations.