We also considered evaluating more complex assumptions about the types of base stations.
As a result, there is a need for a novel framework of modelling that could include game theoretical assumptions as well as other more complex assumptions.
While we assumed (w_i=l_i=1) for all instances up to (N=400) items, for the instance with (N=2000), (S=60,000) and (B=30,000) we randomly generated item dimensions with (w_i in [2,10]) and (l_i in [5,15]) to test runtime performance under more complex assumptions.
This provides a special case that helps to interpret more complex assumptions that must be evaluated numerically.
Further, in-depth analyses as well as state-of-the-art implementation of more complex assumptions have been described [ 28- 30].
Finally, the assumption of 100% reimbursement affects the projected health care costs for each drug; however, attempting to incorporate reimbursement rates into the analyses would have required more complex assumptions.
Our study indicates that in order to estimate a timeline for the evolution of parasites where there are host switches such is the case of malarial parasites, we need to use more complex assumptions and methodologies which compensate for variable evolutionary rates (i.e., relaxed clock methods) and biased host fossils information (i.e., minimum and maximum boundaries).
Intuitively, the less additional genes needed, the easier the interpretation: a single additional gene could possibly be a regulator or mediator not contained in the set, while the need of several additional genes requires more complex assumptions to make the outcome interpretable.
Yet, a direct estimation of phylogenetic informativeness is more complex; an assumption about the substitution model, the phylogenetic relationship between sequences and intense computation is required (impractical for a large scale analysis).
