Novelty-based multi-objectivization for unbounded search space optimization
Crossref DOI link: https://doi.org/10.1007/s10015-025-01034-0
Published Online: 2025-06-09
Published Print: 2025-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ishizawa, Ryuki
Sato, Hiroyuki
Takadama, Keiki
Funding for this research was provided by:
The University of Tokyo
Text and Data Mining valid from 2025-06-09
Version of Record valid from 2025-06-09
Article History
Received: 1 September 2024
Accepted: 25 April 2025
First Online: 9 June 2025