A bi-linear allocation lifetime approach is used to label the chromosomes based on their fitness value, which will then be used to characterize the diversity of the population.
Then, we propose and formulate an approximate linear bit allocation model, which is based on experimental results.
Hungarian algorithm was put forward by Hungarian mathematician Edmonds in 1965, and this algorithm is generally used to solve the problem of linear task allocation.
We employ Hungarian algorithm, which is a typical solution to the linear task allocation problem, to minimize cross-tier interference from femtocells to the users of licensed systems including macrocell networks and TV broadcast systems while avoiding co-tier femtocell interference based on the physical cluster.
Darte et al. proposed a lattice-based mathematical framework for array mapping, establishing a correspondence between valid linear storage allocations and integer lattices called strictly admissible [13].
It could be argued that differences in RSR were due to non-linear allometric allocation dependent on plant size (e.g. Shipley and Meziane 2002).
Summary of mixed-effects model analyses across all studied species testing for non-linear allometric allocation in leaf area ratio and root to shoot ratio.
Additionally, the above-mentioned model was modified following a suggestion by Shipley and Meziane (2002) to test for non-linear allometric allocation in LAR and RSR as a function of plant size.
The complete linear waste-load allocation model is presented below: Objective function: Max F = ∑ i = 1 11 α i x i (6a).
We further adjusted this model for separate time trends in each local authority to test whether relative deviations from the linear trend in allocation in each local authority were associated with fluctuations in mortality (see supplementary appendix 4).
Using the ANN-B modelling approach, which can simulate complex and non-linear processes, water allocation prices were predicted with a high degree of accuracy (RBASIC = 0.93, RINTER. = 0.96 and RFULL = 0.99); this was a higher level of accuracy than realized using ANN.
