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For small-scale problems roughly, less than features , we implement two established approaches to find all exact solutions. For medium-to-large problems roughly, more than features , we propose one efficient approach that can generate a representation of the entire Pareto front in linear time complexity. The empirical results show that our proposed method can find significantly more non-dominated solutions in similar or less execution time, in comparison with IBEA and its recent enhancement i.

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Package update – Plotting multi-objective linear/integer programming models in R

Abstract The optimal feature selection problem in software product line is typically addressed by the approaches based on Indicator-based Evolutionary Algorithm IBEA. Yinxing Xue.

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