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MaOEA

Many Objective Evolutionary Algorithm

A set of evolutionary algorithms to solve many-objective optimization. Hybridization between the algorithms are also facilitated. Available algorithms are: 'SMS-EMOA' <doi:10.1016/j.ejor.2006.08.008> 'NSGA-III' <doi:10.1109/TEVC.2013.2281535> 'MO-CMA-ES' <doi:10.1145/1830483.1830573> The following many-objective benchmark problems are also provided: 'DTLZ1'-'DTLZ4' from Deb, et al. (2001) <doi:10.1007/1-84628-137-7_6> and 'WFG4'-'WFG9' from Huband, et al. (2005) <doi:10.1109/TEVC.2005.861417>.

Versions across snapshots

VersionRepositoryFileSize
0.6.2 rolling linux/jammy R-4.5 MaOEA_0.6.2.tar.gz 186.7 KiB
0.6.2 rolling linux/noble R-4.5 MaOEA_0.6.2.tar.gz 187.6 KiB
0.6.2 rolling source/ R- MaOEA_0.6.2.tar.gz 33.4 KiB
0.6.2 latest linux/jammy R-4.5 MaOEA_0.6.2.tar.gz 186.7 KiB
0.6.2 latest linux/noble R-4.5 MaOEA_0.6.2.tar.gz 187.6 KiB
0.6.2 latest source/ R- MaOEA_0.6.2.tar.gz 33.4 KiB
0.6.2 2026-04-26 source/ R- MaOEA_0.6.2.tar.gz 33.4 KiB
0.6.2 2026-04-23 source/ R- MaOEA_0.6.2.tar.gz 33.4 KiB
0.6.2 2026-04-09 windows/windows R-4.5 MaOEA_0.6.2.zip 193.0 KiB
0.6.2 2025-04-20 source/ R- MaOEA_0.6.2.tar.gz 33.4 KiB

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