Coefficient Mutation

Coefficient mutation, a technique used in evolutionary algorithms, focuses on optimizing the numerical parameters (coefficients) within solutions to improve their performance. Current research explores its application within various algorithms, such as genetic programming and particle swarm optimization, often employing Gaussian mutation for coefficient adjustment. This research aims to enhance the efficiency and accuracy of these algorithms in diverse fields, including symbolic regression and human activity recognition, demonstrating improvements in solution quality and discovery of underlying patterns in complex datasets.