Comparing, or benchmarking, of optimization algorithms is a complicated task that involves many subtle considerations to yield a fair and unbiased evaluation. In this paper, we systematically review the benchmarking process of optimization algorithms and discuss the challenges of fair comparison We provide suggestions for each step of the comparison process and highlight the pitfalls to avoid when evaluating the performance of optimization algorithms We also discuss various methods of reporting the benchmarking results Finally some suggestions for future research are presented to improve the current benchmarking process.

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