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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>.
Getting started
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Package details |
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| Author | Dani Irawan [aut, cre] (<https://orcid.org/0000-0002-4213-941X>) |
| Maintainer | Dani Irawan <irawan_dani@yahoo.com> |
| License | GPL (>= 3) |
| Version | 0.6.2 |
| URL | https://github.com/dots26/MaOEA |
| Package repository | View on CRAN |
| Installation |
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