Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes-Reference-Cited by-同舟云学术

Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes

Published:2023 Issue: Volume: Page:442-457
ISSN:0302-9743
Container-title:Applications of Evolutionary Computation
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Author:

Andova Andrejaana,Benecke Tobias,Ludwig Harald,Tušar Tea

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-30229-9_29

Reference16 articles.

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2. van der Blom, K., et al.: Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. In: GECCO 2020: Genetic and Evolutionary Computation Conference, Companion Volume, pp. 293–294. ACM (2020). https://doi.org/10.1145/3377929.3389974

3. Brockhoff, D., Auger, A., Hansen, N., Tušar, T.: Using well-understood single-objective functions in multiobjective black-box optimization test suites. Evol. Comput. 30(2), 165–193 (2022). https://doi.org/10.1162/evco_a_00298

4. Brockhoff, D., Tušar, T.: GECCO 2022 tutorial on benchmarking multiobjective optimizers 2.0. In: GECCO 2022: Genetic and Evolutionary Computation Conference, Companion Volume, pp. 1269–1309. ACM (2022). https://doi.org/10.1145/3520304.3533635

5. Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable multi-objective optimization test problems. In: Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, pp. 825–830. IEEE (2002). https://doi.org/10.1109/CEC.2002.1007032

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