Using a binary string to represent a selected design space, the combined genetic algorithm-subregion method adopts the genetic algorithm to perform the optimization process.
Bayesian networks are amenable to evolutionary methods as they can be easily described using a binary string to which crossover and mutation operations can be applied.
As shown in the animation contained in Supplementary Video SV1, the machine (using a binary string as input) halts after prepending 0 to the string.
A simple representation of a metabolic network genotype G uses a binary string of length N, e.g., G = (b1,..., b N ), where N is the number of all enzyme-catalyzed chemical reactions that occur in the biosphere; this is illustrated in Figure 1a.
The number and corresponding position of side exchangers are denoted only by a binary string using dynamic coding.
Unlike a binary string mask used to represent spaced seeds, however, a length- m mask for a subset seed is an m-tuple, where each M i is a collection of disjoint sets, each set defining an equivalence class of characters for a particular position.
The structure similarity search is performed by using the so-called structural fingerprint, a binary string with a length of 1024 bits which has encoded the structure characteristics of a given compound.
First, it has one step more at initialization which uses a rule-based generator algorithm that transforms relations and data structures in a binary string format.
The first one is based on the codification of the possible solution in a binary string and in the application, in that string, of an assembly algorithm, such as one used in DNA construction.
Optimization is achieved by representing a possible distribution of windows by a binary string.
