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For this purpose, filtering techniques are usually used or post-processing is applied in the optimisation process.
Grid spacing parameters are varied in the optimisation process.
These coefficients serve as initial parameters in the optimisation process.
As response variables in the optimisation process include main individual polyphenols, as well as spectrophotometric indexes.
In total, ten different CFS channel cross-section prototypes are considered in the optimisation process.
Three variables (pH, NaCl% and extraction time) were considered key factors in the optimisation process.
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That is, the inclusion of preferences into the optimisation process, in order to seek actively for a pertinent Pareto front approximation.
In each iteration the optimisation process updates the values of the elastic constants in a finite element model of the specimen used in the experimental tests.
The flexural strengths of the sections are determined based on the effective width method adopted in EC3, while the optimisation process is performed using the Particle Swarm Optimisation (PSO) method.
Response Surface Models (RSMs) are generated to mimic the rotorcraft performance in order to accelerate the optimisation process.
For illustration purposes, the optimisation process results are shown in Appendix Appendix 2: Optimising a code-mapping table.
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