Highlights•Kinetic models integrate heterogeneous data to give metabolic engineering
insights.•Need accurate catalytic and allostery kinetic parameters for quality kinetic …

The present work aims to find the optimal solution of Nash Equilibrium (NE) in the traditional
Game Theory (GT) applied to water resources allocation. Innovatively, this paper introduces …

The ability to create “structured models” of biological simulations is becoming more and
more commonplace. Although computer simulations can be used to estimate the model, they …

Chinese Hamster Ovary (CHO) cells are very famous in biological and medical research,
especially in the protein production industry. It is because the characteristic of the cells with …

Due to complex nature of metabolic pathways, E. coli metabolic model kinetic parameters
are difficult to detect experimentally. Thus, obtaining accurate kinetic data for all reactions in …

This study investigates the potential of Particle Swarm Optimization (PSO)-based Neural
Network (NN) training to enhance the efficacy of English language instruction. Recognizing …

In this study, we proposed a type 2 fuzzy neural controller (FNC) based on Bayesian
dynamic group particle swarm optimization (BDGPSO) for the navigation control of …

Software product line SPLs, or software product lines, are groups of similar software systems
that share some commonalities but stand out from one another in terms of the features they …

In this present work, polynomial and artificial neural networks models, adjusted by particle
swarm optimization, were implemented in an attempt to improve process modelling and to …

Understanding the behaviour of cell metabolism is the crucial key in bioprocess
development and optimization, as well as in the development of efficient therapies. Indeed, it …