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23 January 2019 A construction method for large scale global optimization problem
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Proceedings Volume 10835, Global Intelligence Industry Conference (GIIC 2018); 1083505 (2019) https://doi.org/10.1117/12.2505031
Event: Global Intelligent Industry Conference 2018, 2018, Beijing, China
Abstract
Large scale global optimization problems are closely related to real-life; however, the existing test function sets for large scale optimization problems can not truly reflect the complexity of the actual optimization problem. This paper presents a method for constructing test function sets, it can generate complex test function with different correlation, different deception and different difficulty of solving by adjusting the key parameters such as encoding length, number of groups, equipartition, continuity and the upper and lower limits of the dimensions within the group, it can be controlled by correlation, deception and continuity among dimensions. Using the existing metric correlation index verified the validity of the new construction test functions, and it can effectively simulate the incompletely separable optimization problem with different complexity.
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Hao Chen, Yuan Chen, and Chunlei Xu "A construction method for large scale global optimization problem", Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 1083505 (23 January 2019); https://doi.org/10.1117/12.2505031
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