Almost all optimization algorithms have algorithm-dependent parameters, and the setting of such parameter values can largely influence the behaviour of the algorithm under consideration. Thus, proper parameter tuning should be carried out to ensure the algorithm used for optimization may perform well and can be sufficiently robust for solving different types of optimization problems. This chapter reviews some of the main methods for parameter tuning and then highlights the important issues concerning the latest development in parameter tuning. A few open problems are also discussed with some recommendations for future research.

翻译：几乎所有优化算法都包含依赖于算法的参数，而这些参数值的设定在很大程度上会影响所考虑算法的行为。因此，应进行适当的参数调优，以确保用于优化的算法能够表现出良好的性能，并且在解决不同类型的优化问题时具有足够的鲁棒性。本章回顾了参数调优的一些主要方法，然后重点阐述了参数调优领域最新发展中的关键问题。最后讨论了一些开放性问题，并为未来研究提出了若干建议。