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Grey Wolf Optimization Applied to the 0/1 Knapsack Problem

by Eman Yassien, Raja Masadeh, Abdullah Alzaqebah, Ameen Shaheen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 5
Year of Publication: 2017
Authors: Eman Yassien, Raja Masadeh, Abdullah Alzaqebah, Ameen Shaheen
10.5120/ijca2017914734

Eman Yassien, Raja Masadeh, Abdullah Alzaqebah, Ameen Shaheen . Grey Wolf Optimization Applied to the 0/1 Knapsack Problem. International Journal of Computer Applications. 169, 5 ( Jul 2017), 11-15. DOI=10.5120/ijca2017914734

@article{ 10.5120/ijca2017914734,
author = { Eman Yassien, Raja Masadeh, Abdullah Alzaqebah, Ameen Shaheen },
title = { Grey Wolf Optimization Applied to the 0/1 Knapsack Problem },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 5 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number5/27980-2017914734/ },
doi = { 10.5120/ijca2017914734 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:16:32.672678+05:30
%A Eman Yassien
%A Raja Masadeh
%A Abdullah Alzaqebah
%A Ameen Shaheen
%T Grey Wolf Optimization Applied to the 0/1 Knapsack Problem
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 5
%P 11-15
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The knapsack problem (01KP ) in networks is investigated in this paper. A novel algorithm is proposed in order to find the best solution that maximizes the total carried value without exceeding a known capacity using Grey Wolf Optimization (GWO) and K-means clustering algorithms. GWO is a recently established meta-heuristics for optimization, inspired by grey wolf's species. K-means clustering algorithm is used to group each 5-12 agents with each other at one cluster according to GWO constraint. The evaluated performance is satisfying. The simulation results show great compatibility between experimental and theoretical results.

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Index Terms

Computer Science
Information Sciences

Keywords

Grey Wolf Optimization (GWO) Knapsack problem Meta-heuristic Optimization.

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