Reproducible Multi-Metric Benchmarking Framework for Metaheuristic Algorithms in Constrained Engineering Optimization
Abstract
This repository provides the source code for a unified benchmarking framework using eight performance metrics, three-level success classification (Exact, Near, Fail), and Friedman-based statistical analysis to ensure fair and reproducible evaluation of metaheuristic algorithms.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 April 2026
- Language
- EN