An efficient hybrid evolutionary optimization algorithm based on PSO and SA for clustering

DOI10.1631/jzus.A0820196zbMath1180.90372OpenAlexW2026107899MaRDI QIDQ1048302

Babak Amiri, Taher Niknam, Javad Olamaei, Ali Arefi

Publication date: 11 January 2010

Published in: Journal of Zhejiang University. Science A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1631/jzus.a0820196

zbMATH Keywords

data clusteringsimulated annealing (SA)particle swarm optimization (PSO)\(K\)-means clusteringhybrid evolutionary optimization algorithm

Mathematics Subject Classification ID

Quadratic programming (90C20) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

A NEW HYBRID ALGORITHM FOR MULTI-OBJECTIVE DISTRIBUTION FEEDER RECONFIGURATION ⋮ A hybrid evolutionary algorithm for distribution feeder reconfiguration

Cites Work

• Application of particle swarm optimization for distribution feeder reconfiguration considering distributed generators
• Clustering categorical data sets using tabu search techniques
• Simulated annealing versus Metropolis for a TSP instance
• Application of honey-bee mating optimization algorithm on clustering
• Comparing SOM neural network with fuzzy \(c\)-means, \(K\)-means and traditional hierarchical clustering algorithms
• Unnamed Item

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