Research Article
MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank
| Input: : maximum generations of multi-objective instance selection, : population | | size of multi-objective instance selection, : crossover probability of multi-objective instance selection, | | : mutation probability of multi-objective instance selection, : original training data set; | | Output: A set of non-dominated instance subsets ; | | Initializing the population ; | | for to do | | Evaluating by two proposed objectives; // formula (1) | | Binary Tournament ; | | Variation ; | | Environmental ; | | end for | | selecting the solutions on the Pareto front; | | Return ; |
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