A benchmark generator for dynamic multi-objective optimization problems

Jiang, Shouyong and Yang, S. (2014) A benchmark generator for dynamic multi-objective optimization problems. In: 2014 14th UK Workshop on Computational Intelligence (UKCI), 8-10th Sep 2014, Bradford, UK.

Full content URL: https://doi.org/10.1109/UKCI.2014.6930171

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


Many real-world optimization problems appear to not only have multiple objectives that conflict each other but also change over time. They are dynamic multi-objective optimization problems (DMOPs) and the corresponding field is called dynamic multi-objective optimization (DMO), which has gained growing attention in recent years. However, one main issue in the field of DMO is that there is no standard test suite to determine whether an algorithm is capable of solving them. This paper presents a new benchmark generator for DMOPs that can generate several complicated characteristics, including mixed Pareto-optimal front (convexity-concavity), strong dependencies between variables, and a mixed type of change, which are rarely tested in the literature. Experiments are conducted to compare the performance of five state-of-the-art DMO algorithms on several typical test functions derived from the proposed generator, which gives a better understanding of the strengths and weaknesses of these tested algorithms for DMOPs. © 2014 IEEE.

Additional Information:cited By 5; Conference of 2014 14th UK Workshop on Computational Intelligence, UKCI 2014 ; Conference Date: 8 September 2014 Through 10 September 2014; Conference Code:108776
Keywords:Artificial intelligence, Pareto principle, Complicated characteristics, Dynamic multiobjective optimization, Five state, Mixed type, Pareto-optimal front, Real-world optimization, Standard tests, Test functions, Multiobjective optimization
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:35672
Deposited On:01 May 2019 14:01

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