Multiobjective Optimization in Bioinformatics and Computational Biology

By Julia Handl, Douglas B. Kell, Joshua D. Knowles. IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2007

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A competitive mechanism based multi-objective particle swarm optimizer with fast convergence (2018, background): “In the real world, many optimization problems may involve multiple conflicting objectives to be optimized simultaneously [10, 11, 14, 29, 30, 46, 49].”
Statistical strategies for avoiding false discoveries in metabolomics and related experiments (2007, background): “…2000), and we shall largely ignore it, although we would point out that the field of semi-supervised learning is designed to help detect this and reclassify individuals as appropriate (Bennett and Demiriz, 1998; Demiriz et al., 1999; Kemp et al., 2003; Li et al., 2003; Handl and Knowles, 2006b).”