It is very important to design the optimum starting time of water injection for the development of low permeability reservoirs.
All analysed proxies support the existence of dense lime-dominated woodland during the forest optimum starting after climate moistening around 6800 BC, some 2200 years before the first signs of slight forest opening in the Late Neolithic.
The simulations show that our algorithm can achieve the global optimum starting from many initial points.
As the optimum starts moving, selection becomes gradually stronger (see eqn A4).
However, this is still not the whole story, because once the optimum starts moving, is expected to increase.
Under a stationary optimum, competition results in character displacement, so when the optimum starts to move due to environmental change, one species starts out with a greater lag than the other.
This degree of toxicity is higher than is seen with the standard dG regimen, but still less than conventional MTD, and this dose level was selected as the optimum starting dose for future use of MdG alone.
Following this equilibration time, the optimum started moving under ongoing mutational input, and the simulation was stopped once all alleles from the standing genetic variation were either fixed or lost (i.e., when σ sgv 2 = 0 ).
These factors have been combined into a model that predicts the optimum starting dose of recombinant human (rh) FSH for individual patients (Howles et al., 2006; Olivennes et al., 2009).
After 4 N e generations, the optimum starts moving, such that the selection coefficient of the derived allele, which is initially deleterious [ i.e., s (α, t ) ≤ 0 ], increases and may eventually become beneficial [ i.e., s (α, t ) > 0 ], depending on the response at the genetic background.
