Published December 15, 2025
| Version v1.0.0
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Source Code for: Fair and Reproducible Evaluation of Metaheuristic Algorithms for Engineering Optimization Problems
Description
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.
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2025-12-15Code release