Improved multi-objective particle swarm optimization algorithm for optimizing watermark strength in color image watermarking

A variant of Multi-Objective Particle Swarm Optimization (MOPSO), named as MOPSOtridist, is proposed in this paper. To improve the performance of existing MOPSO algorithms, new leader selection strategy and personal best (pbest) replacement scheme is introduced in this variant. In existing MOPSO alg...

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Bibliographic Details
Published in:	Applied intelligence (Dordrecht, Netherlands) Vol. 47; no. 2; pp. 362 - 381
Main Authors:	Saxena, Nitin, Mishra, K. K.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.09.2017 Springer Nature B.V
Subjects:	Algorithms Archives & records Artificial Intelligence Color Computer Science Digital imaging Digital watermarking Machines Manufacturing Mechanical Engineering Multiple objective analysis Particle swarm optimization Performance enhancement Performance measurement Processes Stagnation MOPSO Imperceptibility Robustness Triangular distance Leader selection Watermarking
ISSN:	0924-669X, 1573-7497
Online Access:	Get full text
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