Sequential Structuring Element for CFG Induction Using Genetic Algorithm

Abstract

This paper investigates the induction of Context free Grammar with genetic algorithm. The genetic algorithm is not very effective at this [1]. To overcome this problem we investigate combined effect of two methods for structuring the chromosomes. The first is to bias the distribution of Non-terminals in the chromosome at the time of chromosome generation as well as updating. The latter approach is sequential structural mapping from chromosome to grammar. It is shown that biasing the chromosome in this fashion produces extremely fast convergence as shown in the result section. Grammars are an extremely general and useful tool with many applications. These include the higher levels of signal processing, such as pattern recognition. However, the application of grammars is limited by the algorithms we can apply to infer them from samples of data. The main contribution of this paper is the effective decoding of the context free grammar from chromosomes with the distinct approaches mentioned.

Genetic Algorithm for Grammar Induction and Rules Verification through a PDA Simulator

“…The work presented in [26] was the extension of the work done in [24]. A sequential structuring approach was proposed in [28] that perform coding and decoding of binary coded chromosomes into terminals and non-terminals and vice-versa. A GA based CFG induction library was proposed in [28,29].…”

“…A sequential structuring approach was proposed in [28] that perform coding and decoding of binary coded chromosomes into terminals and non-terminals and vice-versa. A GA based CFG induction library was proposed in [28,29]. A case study on GI was proposed in [27] includes the basics of GA in which simple crossover (one and two points) and bit inversion mutation operators were utilized.…”

Maintaining regularity and generalization in data using the minimum description length principle and genetic algorithm: Case of grammatical inference

“…In addition, a better construction of the initial population was suggested. Choubey and Kharat [22] have presented a sequential structuring approach that performs coding and decoding of the binary coded chromosomes into terminal and non-terminals and viceversa. A CFG induction library was presented using the GA, contains various Java classes to perform the GI [8] [23].…”

PDA Simulator for CFG Induction Using Genetic Algorithm

“…A sequential structured chromosome [6] is used in the implementation consists of random sequence of 0s and 1s. The decoding procedure of the grammar maps the random chromosome according to bit sequence based on the number of terminals available in the given sample data.…”