In silico reaction knockout simulation is one of the techniques applied to analyse the effects of genetic perturbations on metabolite production. Many methods consider growth coupling as the objective function, whereby it searches for mutants that maximise the growth and production rate. However, the ...
[28]. Also, the most popular approach is to use AI techniques to model and optimize pollutant removal to create the best possible operating conditions [29,30]. Lin et al. used a multilayer perceptron neural network (MLPNN) to reduce energy consumption by 13.2 % –15.7 % in their UV and...
To address this, in this report, the structure of Did2176–204 in complex with Vta1NTD was determined by NMR techniques, demonstrating that Did2176–204 interacts with Vta1NTD through its helix α6′ extending over the 2nd and the 3rd α-helices of Vta1NTD microtubule interacting and ...
The techniques proposed by this study can be utilized to develop fast and succinct suffix sorters in external memory.doi:10.1016/j.ipm.2020.102378Ling Bo HanYi WuGe NongInformation Processing & Management
The boundary condition of the real and reactive power DGs are also restricted, which is given as in Equations (1) and (2). PDmGin ≤ PDG ≤ PDmGax (1) QmDGin ≤ QDG ≤ QmDGax (2) 3. Problem Formulation 3.1. Load Flow Technique The traditional load flow techniques, which are ...
Genetic Algorithms A genetic algorithm (GA) was employed to determine the best solution for various processes in the simulation model, as previously described. One of the most basic stochas- tic optimisation techniques with considerable evolutionary characteristics is the genetic algorithm. To solve a...