5 Enhanced Harmony Search Algorithms with Code Implementations

This article provides detailed explanations of program implementations for five enhanced harmony search algorithms. The collection includes two original algorithms developed by the author and published in research papers, along with three improved variants from other researchers. For each algorithm, we will first introduce fundamental concepts, then discuss specific enhancement methodologies, and provide corresponding code implementations with key function descriptions. The implementation approach typically involves modifying the harmony memory consideration rate, pitch adjustment rate, and bandwidth parameters to improve convergence performance. Additionally, we will analyze algorithm performance across different datasets using objective function evaluations and convergence curves, while proposing future research directions and potential application domains in optimization problems. The code structure follows modular design principles with separate functions for initialization, harmony improvisation, pitch adjustment, and memory update operations.