The results implied that the current ensemble learning to combine QTL-based and GP models was efficient in capitalizing on the model complementarities.
In these models, complementarity of allelic frequencies was assumed, thus although a conservative assumption of linkage equilibrium was made within each line, LD between the QTL and markers would still occur in the F1 due to a difference in allele frequency between the lines, but would decline to 0 when the frequencies approach 0.5 within each line.
The basic concepts behind this model are: Complementarity.
Therefore, the ALM model predicts complementarity between technology and abstract tasks.
When a new business model creates complementarities between competitors, it is less likely that incumbents will respond aggressively.
The structures, which often involve constraints on the solution sets of other models or complementarity relationships, can be exploited by modern large scale mathematical programming algorithms for efficient solution.
In recent years, various extensions and generalizations of the classical variational inequality models and complementarity problems have emerged in quantum and fluid mechanics, nonlinear programming, physics, optimization and control, economics, transportation, finance, structural, elasticity and applied sciences (see [3 7] and the references therein for details).
This paper addresses a large scale multi-period complementarity model for an advanced hydrocarbon biofuel supply chain integrated with existing petroleum refineries.
See Gentzkow (2007) for a use of a related model in studying complementarity of new goods.
The results might be explained in a model allowing for complementarity between labor services at standard and nonstandard schedules and heterogeneity in the willingness to work nonstandard hours.
