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The Construction of Dynamic Multi-objective Optimization Test Functions

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Advances in Computation and Intelligence (ISICA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4683))

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Abstract

Dynamic Multi-objective Optimization Problems (DMOPs) gradually become a difficult and hot topic in Multi-objective Optimization area. However, there is lack of standard test functions for Dynamic Multi-objective Optimization Algorithms now. Firstly this paper proves the existence of Pareto optimal set of a class of a special non-dynamic two-objective optimization problem theoretically. Based on this result, we present one method of constructing dynamic two-objective and scalable multi-objective optimization problems, and then providing the test suites which are easy to be constructed and have known Pareto Optimal set and Pareto optimal front.

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References

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Authors and Affiliations

  1. Guilin University of Electronic Technology, Guilin, China

    Min Tang & Guangxi Chen

  2. School of Science, Wuhan University of Technology, Wuhan, China

    Zhangcan Huang

Authors
  1. Min Tang
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  2. Zhangcan Huang
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  3. Guangxi Chen
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Lishan Kang Yong Liu Sanyou Zeng

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© 2007 Springer-Verlag Berlin Heidelberg

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Tang, M., Huang, Z., Chen, G. (2007). The Construction of Dynamic Multi-objective Optimization Test Functions. In: Kang, L., Liu, Y., Zeng, S. (eds) Advances in Computation and Intelligence. ISICA 2007. Lecture Notes in Computer Science, vol 4683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74581-5_8

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  • DOI: https://doi.org/10.1007/978-3-540-74581-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74580-8

  • Online ISBN: 978-3-540-74581-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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