Grouping cities based of their socio-economic indicators

DOI10.1016/J.ENDM.2017.03.029zbMath1388.90127OpenAlexW2605762317MaRDI QIDQ1687686

Olga Rusetskaya

Publication date: 4 January 2018

Full work available at URL: https://doi.org/10.1016/j.endm.2017.03.029

zbMATH Keywords

variable neighborhood searchminimum sum of squarescrisescity developmentsocio-economic characteristics

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• Unnamed Item

Cites Work

• Clustering cities based on their development dynamics and variable neigborhood search
• J-MEANS: A new local search heuristic for minimum sum of squares clustering

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