Hidden Markov Model Classifier for the Adaptive ACS-TSP Pheromone Parameters
DOI10.1007/978-3-319-95104-1_10zbMATH Open1440.62317OpenAlexW2887238840MaRDI QIDQ5111129
Abdellatif El Afia, Rdouan Faizi, Safae Bouzbita
Publication date: 26 May 2020
Published in: Bioinspired Heuristics for Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-95104-1_10
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Markov processes: estimation; hidden Markov models (62M05) Multivariate analysis and fuzziness (62H86)
Cites Work
Related Items (1)
Uses Software
Recommendations
- Title not available (Why is that?) π π
- Title not available (Why is that?) π π
- Using hidden Markov models in estimating the parameters of hierarchical systems π π
- A new hidden Markov model approach for pheromone level exponent adaptation in ant colony system π π
- A cooperative multi-swarm particle swarm optimizer based hidden Markov model π π
- Learning genetic algorithm parameters using hidden Markov models π π
- Hidden Markov models training by a particle swarm optimization algorithm π π
- Pheromone models in ant colony optimization (ACO) π π
This page was built for publication: Hidden Markov Model Classifier for the Adaptive ACS-TSP Pheromone Parameters
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q5111129)