In order to obtain a recursive algorithm, we remove the geometry-refining optimization that is present in the MFPP algorithm; however, we empirically show that our algorithm degrades gracefully in the presence of geometric error.
The originality of the method relies first on constraining the domain of the most probable crystals, before converging towards the predicted packing by a double genetic-refining optimization algorithm.
We apply and refine this optimization for a recently presented temporal blocking strategy designed to explicitly utilize multicore characteristics.
Seven variables were statistically significant at 95% significance and a 27-3 factoriall factorial design (FFD) was applied to further refine the optimization of culture conditions.
Then, the fine-search strategy and Random Walk algorithm with Compulsive Evolution were integrated to enhance and refine the optimization for continuous and integer variables in heat exchanger networks synthesis simultaneously.
In particular, the cutting plane method is introduced to refine the optimization formulation by maintaining field accessibility and haul road continuity, thus ensuring practical feasibility of the analytical solution.
Viewing and comparing deconvolution results acquired using different settings will allow users to further refine the optimization.
Future work will aim to refine the optimization techniques to improve their robustness and make the interpretation of connection weights more explicit.
On the other hand, response surface methodology (RSM) is one of the strong tools to know the effect of many factors with less number of experiments and can also be used to refine the optimization of the process.
This might, at least in some taxa, be simply related to lower dispersal capabilities of smaller species; for instance, a phylogenetically independent positive correlation between home range and body size has been found in ferungulate mammals [ 11], a result later refined using optimization methods [ 12].
Deconvolution-related ABIC values, error and residual, as well as the parameters used for the calculation, can be conveniently compared to refine the deconvolution optimization.
