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In response to these two extremes, the authors propose a new approach called Meta-Parametric Design, combining graph-based parametric modelling with genetic programming.
By combining their modelling with genetic analysis, the researchers now believe that each eel returns to the spot where it was born - similar to turtles and salmon.
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In quantitative genetics, Markov chain Monte Carlo (MCMC) methods are indispensable for statistical inference in non-standard models like generalized linear models with genetic random effects or models with genetically structured variance heterogeneity.
The proposed model has been the result of coupling two RSM models with genetic algorithm.
The first proposed method integrates a cellular automata (CA) simulation model with genetic algorithm optimization method.
Next, an optimization model with genetic algorithm method is developed to optimize the process.
For better accurate forecasting of port throughput, a back propagation neural network model with genetic algorithms is proposed.
The above model with genetic algorithms has provided a large number of investment alternatives, avoiding the need to solve partial differential equations (Lazo et al. 2007).
Until recently, our laboratories and others have developed mouse models with genetic deficiencies in glutamate-cysteine ligase (GCL), the rate-limiting enzyme in the GSH biosynthetic pathway.
The prediction accuracy of optimized neural network model with genetic algorithm had a root mean-squared error of 0.03 nm/min.
For example, several different dopamine D2 receptor antagonists were recovered as hits in an unbiased library screen using a Tauopathy model, with genetic techniques then being used to confirm that reduced D2 receptor function is indeed neuroprotective [37].
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