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The first model utilizes Genetic Algorithms (GA) while the second model utilizes Approximate Dynamic Programming (ADP).
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This approach was extended by Burczyk et al. [ 31], who constructed a neighborhood model to utilize genetic marker data from diploid offspring, and Klein et al. [ 32], who proposed a new spatially explicit model to estimate jointly the variance of male fecundity and pollen dispersal kernels.
The approach utilizes genetic algorithm in conjunction with reservoir simulation for TDRM workflow to find reasonable multiple history-matched models.
This paper utilizes genetic algorithms (GAs) to convert a continuous-time uncertain system with input time delay to an equivalent discrete-time interval model.
The optimization model utilizes the 'Non-dominated Sorting Genetic Algorithm (NSGA-II)'.
In this study, we utilize genetic models to investigate the mechanisms by which Mcl-1 promotes peripheral T-lymphocyte survival.
More studies utilizing genetic animal models are required to determine precisely the role of ANG II in diabetic tissue damage.
It is therefore essential that one pays close attention to the details of the experimental design, such as targeting the desired epithelial subtype, when utilizing genetic tools to model mammary carcinogenesis.
For example, Desai et al. 1997 utilized genetic algorithms (GA) in an ANN forecasting model for individual credit, and the results showed that the GA-based techniques performed somewhat better than the other methods.
In this work utilizing genetic programming, a new model has been presented for prediction of vaporization enthalpy of petroleum fractions as well as pure hydrocarbons.
Instead, we utilized genetic differentiation between African and European populations to obtain model-based FST coefficients (Foll and Gaggiotti 2008; Riebler et al. 2008) for each SNP within the 124-kb region of interest.
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