Section Article

The Genetic Algorithm for Operational Improvement
Author(s): Prince Kumar

Abstract
Genetic algorithms (GAs) have emerged as a powerful computational tool for optimizing complex operational processes across industries. Drawing inspiration from evolutionary biology GAs utilize mechanisms such as selection crossover and mutation to iteratively identify optimal or near-optimal solutions in large and complex search spaces. This research examines the application of genetic algorithms for operational improvement focusing on efficiency enhancement resource allocation scheduling and process optimization in organizational contexts.