Dynamic column generation in scalarization methods yields improved Pareto front approximations for the bi-objective cutting stock problem compared to standard approaches.
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A study of column generation embedded in scalarization methods for the bi-objective cutting stock problem
Dynamic column generation in scalarization methods yields improved Pareto front approximations for the bi-objective cutting stock problem compared to standard approaches.