The technology is applied to evolve a process for the production of acetic acid via ethane oxidation, an industrially relevant process.
Basically, other popular GP representations in the literature such as graph representations in strongly typed GP [82], Cartesian GP [80], linear GP [17], and grammar-based GP [77, 139] can also be applied to evolve priority functions for scheduling heuristics.
Finally, a level set method is applied to evolve the shape and topology of the microstructure for each layer, with the numerical homogenization method to evaluate the effective properties of the microstructures.
Having determined the MPPs, a modified real-coded genetic algorithm is applied to evolve these cells into a final one that satisfies all the constraints and has the best objective function value for the RBDO.
We believe the strategy can be applied to evolve the specificity of other antibodies because, like Herceptin, many natural antibodies utilize the heavy chain (HC) CDRs as the main antigen binding determinants, and therefore can tolerate some mutation in the LC CDRs.
Indeed, complex organisms arise in our model without any overriding need for complexity since the selective pressure that is applied to evolving organisms is simple and well-defined.
This was applied to evolve fragment hits identified through a 3D pharmacophore-based virtual screening [2] against the viral 3C protease via fragment growing.
While GP has been applied to many studies to evolve priority rules, there is no study on predictive-reactive scheduling.
This strategy has been applied to both experimentally evolved populations (e.g., Burke et al. 2010; Turner et al. 2011; Remolina et al. 2012) and to divergent natural populations (e.g., Emerson et al. 2010; Kolaczkowski et al. 2011).
