This document describes the generalized moving peaks benchmark (GMPB) and how it can be used to generate problem instances for continuous large-scale dynamic optimization problems. It presents a set of 15 benchmark problems, the relevant source code, and a performance indicator, designed for comparative studies and competitions in large-scale dynamic optimization. Although its primary purpose is to provide a coherent basis for running competitions, its generality allows the interested reader to use this document as a guide to design customized problem instances to investigate issues beyond the scope of the presented benchmark suite. To this end, we explain the modular structure of the GMPB and how its constituents can be assembled to form problem instances with a variety of controllable characteristics ranging from unimodal to highly multimodal, symmetric to highly asymmetric, smooth to highly irregular, and various degrees of variable interaction and ill-conditioning.

中文翻译：

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使用广义移动峰基准生成大规模动态优化问题实例

本文档描述了广义移动峰值基准 (GMPB) 以及如何使用它为连续的大规模动态优化问题生成问题实例。它提供了一组 15 个基准问题、相关源代码和一个性能指标，旨在用于大规模动态优化的比较研究和竞赛。虽然它的主要目的是为运行比赛提供一个连贯的基础，但它的通用性允许感兴趣的读者使用本文档作为设计定制问题实例的指南，以研究超出所提供基准套件范围的问题。为此，我们解释了 GMPB 的模块化结构以及如何组装其组成部分以形成具有从单峰到高度多峰的各种可控特征的问题实例，