Evolution of the population of a genetic algorithm using particle swarm optimization: application to clustering analysis
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Publication:840098
DOI10.1007/s12351-008-0029-zzbMath1176.90267OpenAlexW2078149404MaRDI QIDQ840098
Yannis Marinakis, Magdalene Marinaki, Nikolaos F. Matsatsinis, Constantin Zopounidis
Publication date: 4 September 2009
Published in: Operational Research. An International Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s12351-008-0029-z
Cites Work
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- A hybrid ACO-GRASP algorithm for clustering analysis
- A hierarchical ant based clustering algorithm and its use in three real-world applications
- A hybrid stochastic genetic-GRASP algorithm for clustering analysis
- Differential evolution and particle swarm optimisation in partitional clustering
- Optimization of nearest neighbor classifiers via metaheuristic algorithms for credit risk assessment
- A computational study of several relocation methods for \(k\)-means algorithms.
- Greedy randomized adaptive search procedures
- A genetic algorithm approach to cluster analysis.
- Application of honey-bee mating optimization algorithm on clustering
- Expanding neighborhood GRASP for the traveling salesman problem
- An aggregated clustering approach using multi-ant colonies algorithms
- A classification EM algorithm for clustering and two stochastic versions
- Mathematical classification and clustering
- Determination of cluster number in clustering microarray data
- Tabu Search—Part I
- Tabu Search—Part II
- A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm
- A Gentle Introduction to Memetic Algorithms
- Data Mining and Knowledge Discovery Handbook
- A genetic approach to the automatic clustering problem
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