Optimisation of the algorithm was tried by investigating two manners of discrimination of weeds from the main crop.
To further improve the self-optimising laser design, we expect that the convergence time for the GA could be reduced through careful optimisation of the algorithm parameters (population size, mutation rate etc). or even by the implementation of automated GA parameter tuning16.
The ηT method for pairing calculation is an efficient computation technique based on a generalisation and optimisation of the Duursma Lee algorithm for calculating the Tate pairing.
Following an initial test of the algorithm (results not shown here), we implemented two empirical constrains on the mixture of Gaussians during the optimisation of its parameters using the Expectation-Maximisation algorithm.
Using an optimisation algorithm, the combination of (1) foam density, (2) column wall thickness, (3) column width, (4) column material strength and (5) total component length giving the component of minimum mass was determined for specific cases.
During the course of the optimisation, the algorithm needs to be guided by an objective function that will give an estimate of the predictive accuracy of a particular model.
We have shown that remote sensing has the potential to provide timely data for risk assessment activities, but there is a need for further work on the optimisation of algorithms and the assessment of their minimum detection limits.
For any particular application using a specific sequencing method, optimisation of the SNP- and indel-calling algorithm would always be recommended.
The highly similar characteristics of the discovery set and the complete cohort of samples demonstrated that the optimisation of the binary logistic regression algorithm did not lead to a model overfitted towards the discovery set.
In the NGS community, programming multicore for performance is still perceived according to "the closet to the metal the fastest", thus exclusively focusing on extreme optimisation of the code for a single algorithm and a single platform.
A multivariate, genetic algorithm based optimisation of the uniformity factor was found suitable for determination of the range of the controllable variables and for the development of a guide strategy for experiments.
