2022
DOI: 10.48550/arxiv.2204.04140
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Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems

Abstract: Dynamic multi-objective optimization problems (DMOPs) are widely accepted to be more challenging than stationary problems due to the time-dependent nature of the objective functions and/or constraints. Evaluation of purpose-built algorithms for DMOPs is often performed on narrow selections of dynamic instances with differing change magnitude and frequency or a limited selection of problems. In this paper, we focus on the reproducibility of simulation experiments for parameters of DMOPs. Our framework is based … Show more

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