The contribution of evolutionary game theory to understanding and treating cancer

B Wölfl, H Te Rietmole, M Salvioli… - Dynamic Games and …, 2022 - Springer
Evolutionary game theory mathematically conceptualizes and analyzes biological
interactions where one's fitness not only depends on one's own traits, but also on the traits of …

Computational systems biology in disease modeling and control, review and perspectives

R Yue, A Dutta - npj Systems Biology and Applications, 2022 - nature.com
Omics-based approaches have become increasingly influential in identifying disease
mechanisms and drug responses. Considering that diseases and drug responses are co …

Multi-objective meta-heuristic optimization in intelligent control: A survey on the controller tuning problem

A Rodríguez-Molina, E Mezura-Montes… - Applied Soft …, 2020 - Elsevier
Multi-objective optimization has been adopted in many engineering problems where a set of
requirements must be met to generate successful applications. Among them, there are the …

Optimal control to develop therapeutic strategies for metastatic castrate resistant prostate cancer

JJ Cunningham, JS Brown, RA Gatenby… - Journal of theoretical …, 2018 - Elsevier
In metastatic castrate resistant prostate cancer (mCRPC), abiraterone is conventionally
administered continuously at maximal tolerated dose until treatment failure. The majority of …

Controller tuning using evolutionary multi-objective optimisation: current trends and applications

G Reynoso-Meza, X Blasco, J Sanchis… - Control Engineering …, 2014 - Elsevier
Control engineering problems are generally multi-objective problems; meaning that there
are several specifications and requirements that must be fulfilled. A traditional approach for …

Intelligent automated drug administration and therapy: future of healthcare

R Sharma, D Singh, P Gaur, D Joshi - Drug Delivery and Translational …, 2021 - Springer
In the twenty-first century, the collaboration of control engineering and the healthcare sector
has matured to some extent; however, the future will have promising opportunities, vast …

Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou's PseAAC

M Mandal, A Mukhopadhyay, U Maulik - Medical & biological engineering …, 2015 - Springer
In this article, the possible subcellular location of a protein is predicted using multiobjective
particle swarm optimization-based feature selection technique. In general form of pseudo …

Optimal adaptive intuitionistic fuzzy logic control of anti-cancer drug delivery systems

ME Karar, AH El-Garawany, M El-Brawany - Biomedical Signal Processing …, 2020 - Elsevier
This paper introduces a new closed loop fuzzy logic controller for regulating intravenous anti-
cancer drug delivery, based on intuitionistic fuzzy sets and invasive weed optimization (IWO) …

Adaptive robust control of cancer chemotherapy in the presence of parametric uncertainties: A comparison between three hypotheses

H Moradi, M Sharifi, G Vossoughi - Computers in biology and medicine, 2015 - Elsevier
In this paper, an adaptive robust control strategy is developed for the manipulation of drug
usage and consequently the tumor volume in cancer chemotherapy. Three nonlinear …

Multi-objective on-line optimization approach for the DC motor controller tuning using differential evolution

MG Villarreal-Cervantes, A Rodríguez-Molina… - IEEE …, 2017 - ieeexplore.ieee.org
The dc motor is one of the most fundamental electromechanical devices of mechatronic
systems, which plays an important role in maintaining the accuracy in the execution of tasks …