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Third, we make use of in silico evolution as an approach to understanding the behaviours of the models.
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The mathematical model of mechanical system is used to examine different behaviours of the model.
Kinetic zone diagrams are plotted and all the possible limiting kinetic behaviours of the model are pointed out.
Among the interesting dynamical behaviours of the model, numerical simulations show a backward bifurcation which gives a challenge to the designing of effective control measures.
The cost function typically compares or quantifies the mismatch between the behaviours of the model and the real system, for example experimental data sets and/or qualitative criteria from observed biological behaviour [1].
Quantitative behaviours of the model are represented by time series data, which is from the process of kinetic rates optimisation by SA.
Several modifications were made to Nishizono's model which improved the behaviour of the models.
The models were programmed into a spreadsheet to evaluate the behaviour of the models and examine selected responses.
However, a graphical approach has to be taken to fully assess the behaviour of the models because of the interaction between parameters b0 and b2 in Equations 3/4.
The behaviour of the models in uniformly loaded RC beams is discussed and the implications of each approach are drawn.
The behaviour of the models in response to a simple duration of load assumption is also studied.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com