SURF derives weight sampling rules from the arc-length CDF of the scalarization path to uniformly traverse the Pareto front in multi-objective optimization.
The weighted sum method for multi-objective optimization: new insights.Structural and multidisciplinary optimization, 41(6):853–862
2 Pith papers cite this work. Polarity classification is still indexing.
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Column generation solves a lexicographic multi-objective technician routing problem for electric utilities, proving optimality on more small instances and outperforming compact MILP on larger real-life cases.
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SURF: Steering the Scalarization Weight to Uniformly Traverse the Pareto Front
SURF derives weight sampling rules from the arc-length CDF of the scalarization path to uniformly traverse the Pareto front in multi-objective optimization.
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A column-generation approach for an electricity technician routing and scheduling problem with a lexicographic objective
Column generation solves a lexicographic multi-objective technician routing problem for electric utilities, proving optimality on more small instances and outperforming compact MILP on larger real-life cases.