Speed up of reindexing in adaptive particle swarm optimization
Joint Authors
Ponnusamy, Niraimathi
Krishnaswamy, Bhoopathy
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 4 (31 Jul. 2015), pp.401-409, 9 p.
Publisher
Publication Date
2015-07-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Topics
Abstract EN
Palette re-ordering is a class of pre-processing method with the objective to manipulate the palette index such that the adjacent symbols are assigned close indices in the symbol space, thus enhancing the compressibility of the image with many lossless compressors.
Finding an exact reordered palette would certainly be exhaustive and computationally complex.
A solution to this NP hard problem is presented by using an Adaptive Particle Swarm Optimization (APSO) to achieve fast global convergence by maximizing the co-occurrences.
A new algorithm with improved inertia factor is presented here to accelerate the convergence speed of the reindexing scheme.
In this algorithm, the key parameter inertia weight is formulated as a factor of gradient based rate of particle convergence.
Experimental results assert that the proposed modification helps in improving APSO performance in terms of solution quality and convergence to global optima.
American Psychological Association (APA)
Ponnusamy, Niraimathi& Krishnaswamy, Bhoopathy. 2015. Speed up of reindexing in adaptive particle swarm optimization. The International Arab Journal of Information Technology،Vol. 12, no. 4, pp.401-409.
https://search.emarefa.net/detail/BIM-600176
Modern Language Association (MLA)
Ponnusamy, Niraimathi& Krishnaswamy, Bhoopathy. Speed up of reindexing in adaptive particle swarm optimization. The International Arab Journal of Information Technology Vol. 12, no. 4 (Jul. 2015), pp.401-409.
https://search.emarefa.net/detail/BIM-600176
American Medical Association (AMA)
Ponnusamy, Niraimathi& Krishnaswamy, Bhoopathy. Speed up of reindexing in adaptive particle swarm optimization. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 4, pp.401-409.
https://search.emarefa.net/detail/BIM-600176
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 408-409
Record ID
BIM-600176