The first is the Computational Titration algorithm [10] which uses a lightweight forcefield with the concept of "hydropathic interactions" as its objective function and an exhaustive enumeration for optimization.
Combining every possible selection through enumeration, and computing system objective, and constraints in each possible combination, the optimum result meeting system global optimization requirements can be chosen.
Three drops of 100% glycerol was added to each well prior to microscopy, photography and enumeration under × 10 objective.
Most often, this objective is score minimization or maximization, but counting candidates, enumeration and sampling from the search space are also common.
Namely, we have shown that a minimal hitting set for a collection of j-containing pathway fragments is a cut set for j in a metabolic network S. As a result, the problem of computing cut sets for an objective reaction j can be reduced to the enumeration of minimal hitting sets for the j-containing pathway fragments.
Our objective here is to find an equivalent representation of enumeration of arrangements.
Each leaf node of the enumeration tree corresponds to a convex multi-objective NLP, which is solved heuristically by varying the weights in a weighted sum approach.
It starts with a set of feasible points, obtained, at the root node of the enumeration tree, by iteratively solving, with an ε-constraint method, a single objective model that incorporates the other objective functions as constraints.
Khalili-Damghani and Amiri (2012) used a hybrid efcient epsilon-constraint, multi-start partial bound enumeration algorithm to solve a binary-state multi-objective reliability redundancy allocation series parallel problem.
While some of these methods search for pathways optimizing specific objective functions, here the focus will be on methods that address the enumeration of pathways that are able to convert a set of source compounds into desired targets and their posterior evaluation according to different criteria.
