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A Modified Hybrid IWO/PSO Algorithm for Fast and Global Optimization

Publish place: International Conference on Nonlinear Modeling and Optimization
Publish Year: 1391
Type: Conference paper
Language: English
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Link to this Paper:
https://civilica.com/doc/187829

Document National Code:

ICNMO01_237

Index date: 9 March 2013

A Modified Hybrid IWO/PSO Algorithm for Fast and Global Optimization abstract

This Paper presents the comparison results on the performance of the modified Hybrid IWO/PSO algorithm for fast and global optimization. IWO/PSO algorithm originates from Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO). The efficiency of this algorithm both in the case of speed of convergence and optimality of the results are compared with IWO, PSO, and IWO/PSO through a number of common multi-dimensional benchmark function. Experimental results indicate that proposed approach is competitive as compared to other algorithms such as IWO, PSO, and Hybrid IWO/PSO

A Modified Hybrid IWO/PSO Algorithm for Fast and Global Optimization Keywords:

Evolutionary Algorithms , Invasive Weed Optimization , Particle Swarm Optimization , Hybrid IWO/PSO

A Modified Hybrid IWO/PSO Algorithm for Fast and Global Optimization authors

Milad K.Mostafapour

Damghan University

Akbar H. Borzabadi
Seyed Hashem Tabasi

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