Genetic algorithm implementation for effective document subject search

TL;DR

This paper presents a software implementation of a genetic algorithm designed to improve document subject search by generating effective search queries and classifying results automatically.

Contribution

It introduces a novel genetic algorithm approach tailored for subject search, including fitness function design and parameter optimization.

Findings

Enhanced relevance of search results

Automated classification of documents

Improved search efficiency

Abstract

This paper describes the software implementation of genetic algorithm for identifying and selecting most relevant results received during sequentially executed subject search operations. Simulated evolutionary process generates sustainable and effective population of search queries, forms search pattern of documents or semantic core, creates relevant sets of required documents, allows automatic classification of search results. The paper discusses the features of subject search, justifies the use of a genetic algorithm, describes arguments of the fitness function and describes basic steps and parameters of the algorithm.