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Working on the same premise behind his "soul mate" algorithm — that a true-enough self can be found online — Sam develops a program to send Meredith an e-mail from her dead grandmother, one that's touchingly characteristic of the woman.
The MPLS Adaptive Traffic Engineering (MATE) algorithm proposed by Elwalid et al. [55] aims to reduce network congestion by adaptively load balancing traffic across paths.
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At each time step, a new generation of organisms is produced via an assortative mating algorithm.
This paper describes a mate selection algorithm that is widely used and presents an extension that makes it possible to apply constraints on certain matings, as dictated through a group mating permission matrix.
The full mate selection algorithm, with grouping constraints, is referred to as GroupFix, as it uses a fixing strategy, rather than a penalising strategy, to ensure that group mating permission constraints are observed.
In order to present the new method, a full description of the underlying mate selection algorithm is provided since, to date, it has not been presented elsewhere, despite its relatively wide use.
Also a honey bee mating optimization algorithm is developed for the first time to solve the redundancy allocation problems with large number of constraints.
Various mate selection algorithms have been described in the literature, with differing levels of functionality.
It was concluded that an optimal strategy of line development could be found by mate selection algorithms for a given set of parameters such as genetic model of QTL, breeding objective and initial frequency of the favorable allele in the base populations, etc.
A simple model based on one single identified quantitative trait locus (QTL) in a two-way crossing system was used to demonstrate the power of mate selection algorithms as a natural means of opportunistic line development for optimization of crossbreeding programs over multiple generations.
Honey bee mating optimization (HBMO) algorithm is a population-based algorithm inspired by the mating process in the real colony and has been applied to solve many combinatorial optimization problems successfully.
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