The Generalized Moving Peaks Benchmark (GMPB) is a tool for generating continuous dynamic optimization problem instances with controllable dynamic and morphological characteristics. GMPB has been used in recent Competitions on Dynamic Optimization at prestigious conferences, such as the IEEE Congress on Evolutionary Computation (CEC). This dynamic benchmark generator can create a wide variety of landscapes, ranging from simple unimodal to highly complex multimodal configurations and from symmetric to asymmetric forms. It also supports diverse surface textures, from smooth to highly irregular, and can generate varying levels of variable interaction and conditioning. This document provides an overview of GMPB, emphasizing how its parameters can be adjusted to produce landscapes with customizable characteristics. The MATLAB implementation of GMPB is available on the EDOLAB Platform.

翻译：广义移动峰值基准（GMPB）是一种用于生成具有可控动态与形态特征的连续动态优化问题实例的工具。GMPB已被应用于近期在IEEE进化计算大会（CEC）等知名会议举办的动态优化竞赛中。该动态基准生成器能够创建从简单单峰到高度复杂多峰结构、从对称到非对称形式的多样化地形景观。它同时支持从平滑到高度不规则的多种表面纹理，并能生成不同水平的变量交互与条件数变化。本文档概述了GMPB的核心机制，重点阐述如何通过调整其参数来生成具有可定制特征的景观地形。GMPB的MATLAB实现已在EDOLAB平台开源发布。