This document introduces the Generalized Moving Peaks Benchmark (GMPB), a tool for generating continuous dynamic optimization problem instances that is used for the CEC 2024 Competition on Dynamic Optimization. GMPB is adept at generating landscapes with a broad spectrum of characteristics, offering everything from unimodal to highly multimodal landscapes and ranging from symmetric to highly asymmetric configurations. The landscapes also vary in texture, from smooth to highly irregular surfaces, encompassing diverse degrees of variable interaction and conditioning. This document delves into the intricacies of GMPB, detailing the myriad ways in which its parameters can be tuned to produce these diverse landscape characteristics. GMPB's MATLAB implementation is available on the EDOLAB Platform.

翻译：本文介绍了广义移动峰值基准（GMPB），这是一种用于生成连续动态优化问题实例的工具，应用于2024年CEC动态优化竞赛。GMPB擅长生成具有广泛特征的地形，从单峰到高度多峰的地形，涵盖从对称到高度非对称的配置。这些地形在纹理上也存在差异，从平滑表面到高度不规则表面，包含不同程度的变量交互和条件作用。本文深入探讨了GMPB的复杂性，详细描述了如何通过调整其参数来产生这些多样的地形特征。GMPB的MATLAB实现可在EDOLAB平台上获取。