Abstract
Visualizing a high-dimensional solution set over the evolution process is a viable way to investigate the search behavior of evolutionary multi-objective optimization. The parallel coordinates plot which scales well to the data dimensionality is frequently used to observe solution sets in multi-objective optimization. However, the solution sets in parallel coordinates are typically presented by the natural order of the optimized objectives, with rare information of the relation between these objectives and also the Pareto dominance relation between solutions. In this paper, we attempt to adjust parallel coordinates to incorporate this information. Systematic experiments have shown the effectiveness of the proposed method.
| Original language | English |
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| Title of host publication | Simulated Evolution and Learning : 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings |
| Editors | Yuhui SHI, Kay Chen TAN, Mengjie ZHANG, Ke TANG, Xiaodong LI, Qingfu ZHANG, Ying TAN, Martin MIDDENDORF, Yaochu JIN |
| Publisher | Springer |
| Pages | 224-235 |
| Number of pages | 12 |
| ISBN (Electronic) | 9783319687599 |
| ISBN (Print) | 9783319687582 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | 11th International Conference on Simulated Evolution and Learning, SEAL 2017 - Shenzhen, China Duration: 10 Nov 2017 → 13 Nov 2017 |
Publication series
| Name | Lecture Notes in Computer Science |
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| Publisher | Springer |
| Volume | 10593 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
| Name | Theoretical Computer Science and General Issues |
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| Publisher | Springer |
| ISSN (Print) | 2512-2010 |
| ISSN (Electronic) | 2512-2029 |
Conference
| Conference | 11th International Conference on Simulated Evolution and Learning, SEAL 2017 |
|---|---|
| Abbreviated title | SEAL 2017 |
| Country/Territory | China |
| City | Shenzhen |
| Period | 10/11/17 → 13/11/17 |
Bibliographical note
Publisher Copyright:© Springer International Publishing AG 2017.
Funding
This work was supported in part by the National Natural Science Foundation of China under grants 61432012, 61329302, and the Engineering and Physical Sciences Research Council (EPSRC) of UK under grant EP/J017515/1.