An image registration approach to study the convergence of particle swarm optimization algorithm with non-linear inertia weight variation

Particle swarm optimization (PSO) algorithm is a swarm based metaheuristic method to solve multimodal optimization problems. The inertia weight parameter in the algorithm is very important as it balances the exploration and exploitation of the algorithm. Many variations of the parameter have been re...

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Bibliographic Details

Published in:	2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) pp. 1 - 5
Main Authors:	Saxena, Sanjeev, Pohit, M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Convergence Correlation Fitness Function Image registration Inertia Weight Monitoring Optimization Particle swarm optimization
Online Access:	Get full text
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