2024-03-28T18:56:08Z
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2023-01-16T03:53:17Z
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A Proposal of Visualization of Multi-Objective Pareto Solutions -Development of Mining Technique for Solutions-
Yoshikawa, Tomohiro
22018
Yamashiro, Daisuke
22019
Furuhashi, Takeshi
22020
Recently, the rapid progresses of computers introduce evolutionary computations to next step, which is the demand for the variety of Pareto solutions in multi-objective optimization problems. We can calculate a large amount of Pareto solutions in a short time. However, it is difficult to use the acquired Pareto solutions effectively, because the Pareto solutions have multi-dimension of fitness values. This study tries to develop “Mining of solutions” technique with visualization. This paper proposes a visualizing method for Pareto solutions which have multi-objective fitness values. The proposed method enables us to grasp the distributed structure of Pareto solutions and clarify the relationship among multi-objective fitness values. This paper shows that the visualized data enables us to interpret the characteristics of Pareto solutions through experimental result.
journal article
IEEE
2007
application/pdf
IEEE Symposium on Computational Intelligence in Multicriteria Decision Making
172
177
http://hdl.handle.net/2237/9482
https://nagoya.repo.nii.ac.jp/record/7762/files/yoshikawa_1.pdf
eng
https://doi.org/10.1109/MCDM.2007.369407
1-4244-0702-8
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