Black-Box Multi-Objective Optimization Benchmarking (BMOB) Platform. The aim of this platform is to /consolidate/ black-box multi-objectives problems from the literature into a single framework; which makes it easier for researchers in the Multi-Objective Optimization community to compare, assess, and analyze previous and new algorithms comprehensively. In essence, adding a brick to tools for reproducible research. With BMOBench, you can test your newly developed algorithms on 100 established problems from the multi-objective optimization community and automatically get the experiments results in latex-based paper template. The results--as data profiles--are reported in terms of four quality indicators: hypervolume, additive epsilon-indicator, inverted generational distance, and generational distance.
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References in zbMATH (referenced in 1 article )
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- Custódio, A.L.; Madeira, J.F.A.; Vaz, A.I.F.; Vicente, L.N.: Direct multisearch for multiobjective optimization (2011)