To this end, we present a parallel algorithm for a class of off-lattice individual-based models of multicellular populations. The algorithm divides the spatial domain between computing processes and comprises c
These parameter sets were simulated and added to the database of simulations for the next iteration of the algorithm. At the next iteration, the emulators are re-trained on the new simulation database and re-evaluated (Fig. 1b). This iterative process of simulation, training and emulation ...
we do not take into account household-based susceptibility clustering for individuals born before 1985. To distribute immunity among individuals in this age group, we follow the algorithm described
Anoveldispersalalgorithminindividual-based,spatially-explicit PopulationViabilityAnalysis:Anewroleforgeneticmeasuresin modeltesting? MarkR.Lethbridge * ,JessicaC.Strauss SchooloftheEnvironment,FacultyofScienceandEngineering,FlindersUniversity,Adelaide,SA5001,Australia articleinfo Articlehistory: Received13November2014 ...
A two-individual-based master鈥揳pprentice evolutionary (MAE) algorithm is proposed. Two effective encoding schemes are designed to prevent the generation of infeasible solutions under assembly sequence constraints. Additionally, a decoding method based on interval scheduling theory is devised to ...
Although its advantages are obvious, it is slightly insufficient in the selection of optimal individuals. Aiming at the existing problems in the evaluation and selection of the optimal individual, this paper proposes a test case evaluation algorithm based on the comprehensive analysis of the ...
In all herein reported simulation experiments, we utilized the standard Gillespie algorithm (GA) for continuous-time stochastic simulations, which is very frequently used in network epidemiology [7], [48]. Its significant improvement was recently developed for large complex networks [49], [50]. We...
Because the results of the stochastic simulation of the epidemic were different in each round, fixed values of the necessary parameters could not be obtained when the coordinate descent algorithm was used to estimate the values. Therefore, we used the bootstrap method, a statistical method commonly...
Royston P (1995) Remark AS R94: a remark on algorithm AS 181: the W-test for normality. Appl Stat 44:547–551. https://doi.org/10.2307/2986146 Article Google Scholar Ryabov AB, de Roos AM, Meyer B et al (2017) Competition-induced starvation drives large-scale population cycles in ...
Here, we implemented three algorithms for prioritizing 42 Nature Reserves (NRs) in Yunnan Province, China, including an individual-scoring algorithm (ISA), species-number complementarity algorithm (SNCA), and a new species-value complementarity algorithm (SVCA) which synthesized the former two ...