Merged Clustering Imperialists Algorithm (MCIA)
Keywords:
Clustering, imperialist competitive algorithm (ICA), repulsion policy, merged clustering imperialists algorithm (MCIA)Abstract
This paper introduces an improved evolutionary
algorithm based on the imperialist competitive algorithm (ICA)
called merged clustering imperialists algorithm (MCIA).
Merged clustering imperialist algorithm is another version of
clustering imperialist algorithm (CIA). The imperialist
competitive algorithm that has recently been introduced is used
in order to optimize problems and has shown its reliable
performance. This novel optimization algorithm is inspired by
socio-political process of imperialistic competition in the real
world. In the ICA, there are two categories of countries:
Imperialists and Colonies that each Imperialist observes its
colonies by absorption policy. In the proposed algorithm, the
changed ICA is used for clustering data. In the MCIA,
according to the number of considered clusters, the Imperialists
will be created, and they act like Imperialists in the ICA and
absorb their colonies. In this process which colonies move
toward Imperialists, the Imperialists borders and regions are
specified and by this way whole region is clustered into the
number of Imperialists. When the region and border of clusters
are specified, with a Merge operator that is different in various
clustering problems, the clusters’ components merge to each
other. Finally, the proposed algorithm is used for clustering an
image and a desired result is obtained.
Downloads
Downloads
Published
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
