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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

A Hybrid Algorithm based on Invasive Weed Optimization and Particle Swarm Optimization for Global Optimization

Author 1: Zeynab Hosseini
Author 2: Ahmad Jafarian

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.071040

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 10, 2016.

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Abstract: In this paper, an effective combination of two Metaheuristic algorithms, namely Invasive Weed Optimization and the Particle Swarm Optimization, has been proposed. This hybridization called as HIWOPSO, consists of two main phases of Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO). Invasive weed optimization is the nature- inspired algorithm which is inspired by colonial behavior of weeds. Particle Swarm Optimization is a swarm base Algorithm that uses the swarm intelligence to guide the solution to the goal. IWO algorithm is the algorithm which is not benefit from swarm intelligence and PSO converges to the local optimums quickly. In order to benefit from swarm intelligence and avoidance from trapping in local solutions, new hybrid algorithm IWO and PSO has been proposed. To obtain the required results, the experiment on a set of benchmark functions was performed and compared with other algorithms. The findings based on the non-parametric tests and statistical analysis showed that HIWOPSO is a more preferable and effective method in solving the high-dimensional functions.

Keywords: Invasive weed optimization; Particle Swarm Optimization; Global optimization; Hybrid algorithm

Zeynab Hosseini and Ahmad Jafarian, “A Hybrid Algorithm based on Invasive Weed Optimization and Particle Swarm Optimization for Global Optimization” International Journal of Advanced Computer Science and Applications(IJACSA), 7(10), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071040

@article{Hosseini2016,
title = {A Hybrid Algorithm based on Invasive Weed Optimization and Particle Swarm Optimization for Global Optimization},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071040},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071040},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {10},
author = {Zeynab Hosseini and Ahmad Jafarian}
}


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