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Thirdly, the velocity update equations proposed by Clerc are improved to reduce the randomness of MOPSOs, and ϵ-dominance based archive strategy is adopted in the proposed algorithm.
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It's a nuisance, but any reasonable archiving strategy has to allow for it.
The elitist non-dominated sorting genetic algorithm with a parallel archiving strategy is used to generate the Pareto front.
A relaxed archiving strategy based on negative epsilon-dominance and the box-based method is designed to preserve promising solutions even if they are dominated.
We believe that new strategies must be advanced and established for the integration and use of biobank samples in routine health care, samples from patients that can be collected, processed and stored by a large scale archiving strategy.
It also makes it feasible to consider a long-term archiving strategy for raw experimental data, and to extend a coherent workflow for data management across the whole data lifecycle, from experiment to publication.
The concept of physical storage of DNA molecules as an appropriate archival format seems more relevant to the original investigator as a solution for management in local sequencing projects rather than as a global archiving strategy.
However, as we move to a differentiated archiving strategy, for those data sets that will be archived in highly compressed form where dissemination requires one-off delivery of uncompressed data to consumers, an additional cost for dissemination will arise as part of the experimental data costs.
Four algorithms, including MOICA, MOPSA, NSGA-II, and PAES (Pareto archived evolution strategy), were applied to solve the model.
The optimal linear combination of single descriptor metrics is estimated by applying the Pareto archived evolution strategy.
The proposed algorithm was compared with two other solution methods: (1) non-dominated sorting genetic algorithm (NSGA-II) (2) Pareto archived evolution strategy (PAES).
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