Nguyen, L. and Xuan, H.N. and Bui, L.T. (2016) Performance Measurement for Interactive Multi-objective Evolutionary Algorithms. In: 7th IEEE International Conference on Knowledge and Systems Engineering, KSE 2015, 8 October 2015 through 10 October 2015.
Performance Measurement for Interactive Multi-objective Evolutionary Algorithms.pdf
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Abstract
This paper suggests to use a different metric for performance of multiple-point interactive evolutionary multi-objective algorithms. We defined a preferred region based on a set of user's reference points. Based on the preferred region, we also define a User based Front (UbF) which is generated from the preferred region. UbF is used in calculation of Generational Distance (GD) and Inverse Generational Distance (IGD). The usage of the metric in experiments indicated meaningful comparisons for interactive multi-objective evolutionary algorithms using multiple reference points. © 2015 IEEE.
Item Type: | Conference or Workshop Item (Paper) |
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Divisions: | Faculties > Faculty of Information Technology Faculties > Faculty of Aerospace Engineering |
Identification Number: | 10.1109/KSE.2015.51 |
Uncontrolled Keywords: | Algorithms; Gadolinium; Systems engineering; DMEA-II; Interactive EMO; MOEA/D; Multi-points; Reference points; Evolutionary algorithms |
Additional Information: | Conference code: 119014. Language of original document: English. |
URI: | http://eprints.lqdtu.edu.vn/id/eprint/9864 |