This document describes the Generalized Moving Peaks Benchmark (GMPB) that generates continuous dynamic optimization problem instances. The landscapes generated by GMPB are constructed by assembling several components 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. In this document, we explain how these characteristics can be generated by different parameter settings of GMPB. The MATLAB source code of GMPB is also explained. This document forms the basis for a range of competitions on Evolutionary Continuous Dynamic Optimization in the upcoming well-known conferences.
翻译:本文件介绍了通用移动峰值基准(GMPB),该基准生成了持续动态优化问题实例;全球移动峰值基准(GMPB)生成的景观是通过以下组合构建的:若干具有各种可控特性的组成部分,从单式到高度多式联运,对称到高度不对称,平滑到高度不规则,以及不同程度的可变互动和调节;本文件解释这些特点如何由全球移动峰值不同参数设置产生;全球移动峰值生成的MATLAB源代码也作了解释;本文件为即将举行的著名会议中一系列关于演进连续动态优化的竞赛提供了基础。