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.
翻译:本文件介绍了通用移动峰值基准(GMPB)以及如何利用它来产生连续大规模动态优化问题的问题实例,介绍了一套15个基准问题、相关源代码和业绩指标,目的是在大规模动态优化方面进行比较研究和竞争,尽管其主要目的是为开展竞争提供一个连贯的基础,但该文件的笼统性使感兴趣的读者能够以该文件为指南,设计定制的问题实例,以调查超出所提出的基准套件范围的问题。为此,我们解释了GMPB的模块结构,以及如何将其成员集合起来形成问题实例,这些案例具有从单式到高度多式联运、对称到高度不对称、平稳到高度不规则、不同程度的相互作用和不规范等各种可控制的特点。