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Competition on Dynamic Optimization Problems Generated by Generalized Moving Peaks Benchmark (GMPB)

Year: 2021
Type: preprint
Abstract: 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.
DOI: 10.48550/arxiv.2106.06174
Authors: Yazdani, Danial, Mavrovouniotis, Michalis, Li, Changhe, Chen, Guoyu, Luo, Wenjian, Omidvar, Mohammad Nabi, Branke, Juergen, Yang, Shengxiang, Yao, Xin
Institutions: ERATOSTHENES Centre of Excellence, Anhui University of Science and Technology, Harbin Institute of Technology, Peng Cheng Laboratory, University of Leeds, University of Warwick, Lingnan University, University of Birmingham
Language: English
Open Access status: green
OpenAlex ID: W4206889485
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Cited by: 3
Related to: 10