Searching for authors named "Mohamed Slimane" – sorted by Relevance.
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AntClass: discovery of clusters in numeric data by an hybridization of an ant colony with the kmeans algorithm
- We present in this paper a new hybrid algorithm for data clustering. This algorithm discovers automatically clusters in numerical data without prior knowledge of a possible number of classes, without any initial partition, and without complex parameter settings. It uses the stochastic and explorator
- Cited by 7 (0 self) – Add To MetaCart
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On Improving Clustering in Numerical Databases With Artificial Ants
- We present in this paper a new hybrid algorithm for data clustering. This algorithm discovers automatically clusters in numerical data without prior knowledge of a possible number of classes, without any initial partition, and without complex parameter settings. It uses the stochastic and explorator
- Cited by 13 (3 self) – Add To MetaCart
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On how Pachycondyla apicalis ants suggest a new search algorithm
- In this paper we present a new optimization algorithm based on a model of the foraging behavior of a population of primitive ants (Pachycondyla apicalis). These ants are characterized by a relatively simple but efficient strategy for prey search in which individuals hunt alone and try to cover a giv
- Cited by 14 (2 self) – Add To MetaCart
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On the similarities between AS, BSC and PBIL: toward the birth of a new meta-heuristic
- One can notice that several work in genetic or ant-based optimization such as the BSC, PBIL or AS, are leading in the same direction. A new metaheuristic is about to appear, which looks for an optimum in a search space by using an explicit vector of probabilities that represents the actual sampling
- Cited by 2 (0 self) – Add To MetaCart

