Pareto optimization with small data by learning across common objective spaces

In multi-objective optimization, it becomes prohibitively difficult to cover the Pareto front (PF) as the number of points scales exponentially with the dimensionality of the objective space. The challenge is exacerbated in expensive optimization domains where evaluation data is at a premium. To ove...

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Bibliographic Details
Main Authors: Tan, Chin Sheng, Gupta, Abhishek, Ong, Yew-Soon, Pratama, Mahardhika, Tan, Puay Siew, Lam, Siew-Kei
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/169428
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Institution: Nanyang Technological University
Language: English

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