Online clustering reduction based on parametric and non-parametric correlation for a many-objective vehicle routing problem with demand responsive transport

Expert Systems with Applications(2021)

引用 12|浏览17
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摘要
•An online cluster approach transforms an 8-objective problem onto a 2-objective one.•A Pearson/τ-Kendall hierarchical cluster approach generates the 2-objective problem.•The approach coupled with a state-of-art algorithm is tested on a realistic dataset.•Comparing with the original formulation, the approach shows competitive performance.•The approach shows a favourable impact on search efficiency and computational cost.
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关键词
Vehicle routing problem with a demand responsive transport,Many-objective optimization,Dimensionality reduction techniques,Cluster analysis,Kendall’s correlation,Pearson’s correlation
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