A hybrid stochastic genetic-GRASP algorithm for clustering analysis

DOI10.1007/s12351-008-0004-8zbMath1183.90463OpenAlexW1970188500MaRDI QIDQ949381

Yannis Marinakis, Magdalene Marinaki, Michael Doumpos, Constantin Zopounidis, Nikolaos F. Matsatsinis

Publication date: 21 October 2008

Published in: Operational Research. An International Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12351-008-0004-8

zbMATH Keywords

genetic algorithmsGRASPfeature selection problemclustering analysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Clustering in the social and behavioral sciences (91C20) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

Evolution of the population of a genetic algorithm using particle swarm optimization: application to clustering analysis ⋮ Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs

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