Jul 23, 2021 · This document describes the generalized moving peaks benchmark (GMPB) and how it can be used to generate problem instances for continuous large-scale dynamic ...

Jul 23, 2021 · This document describes the generalized moving peaks benchmark (GMPB) and how it can be used to generate problem instances for continuous ...

Jul 23, 2021 · Abstract. This document describes the generalized moving peaks benchmark (GMPB) [1] and how it can be used to generate problem instances for ...

The modular structure of the GMPB is explained and how its constituents can be assembled to form problem instances with a variety of controllable ...

The competition allows competitors to run their own EDO on the problem instances generated by the generalized moving peaks benchmark (GMPB) with different ...

This document describes the Generalized Moving Peaks Benchmark (GMPB) that generates continuous dynamic optimization problem instances and explains how ...

This document describes the Generalized Moving Peaks Benchmark (GMPB) that generates continuous dynamic optimization problem instances.

This document describes the Generalized Moving Peaks Benchmark (GMPB) that generates continuous dynamic optimization problem instances [1].

Bibliographic details on Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark.

This document introduces the Generalized Moving Peaks Benchmark (GMPB), a tool for generating continuous dynamic optimization problem instances.