Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms

Knapsack problem is a combinatorial optimization problem, where a fixed-size Knapsack must be filled with the most valuable items. Solving knapsack problem consider NP hard problem and many previous research tried to find optimal solution for it. In this research, a new hybrid algorithm of Harmony s...

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Main Authors: Alomoush, Alaa A., Alsewari, Abdulrahman A., Alamri, Hammoudeh S., Kamal Z., Zamli
Format: Article
Language:English
English
Published: American Scientific Publisher 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/19753/
http://umpir.ump.edu.my/id/eprint/19753/
http://umpir.ump.edu.my/id/eprint/19753/
http://umpir.ump.edu.my/id/eprint/19753/1/35.%20Solving%200_1%20Knapsack%20Problem%20Using%20Hybrid%20HS%20and%20Jaya%20Algorithms1.pdf
http://umpir.ump.edu.my/id/eprint/19753/7/Solving%2001%20Knapsack%20Problem%20Using%20Hybrid%20HS%20and%20Jaya%20Algorithms.pdf
id ump-19753
recordtype eprints
spelling ump-197532019-03-07T07:44:19Z http://umpir.ump.edu.my/id/eprint/19753/ Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms Alomoush, Alaa A. Alsewari, Abdulrahman A. Alamri, Hammoudeh S. Kamal Z., Zamli QA76 Computer software Knapsack problem is a combinatorial optimization problem, where a fixed-size Knapsack must be filled with the most valuable items. Solving knapsack problem consider NP hard problem and many previous research tried to find optimal solution for it. In this research, a new hybrid algorithm of Harmony search and Jaya search algorithms applied on 0/1 Knapsack problem to find a near optimal results. HS algorithm has been modified to handle the 0/1 Knapsack problem, such as adding penalty function to cope the weight condition, exclude the harmony search bandwidth (bw) parameter, and use the current best result in the next iteration to obtain a better result. The new hybrid algorithm has been applied on different cases of Knapsack problem with different dimensions. 20 case studies have been evaluated by the new hybrid algorithm. The results obtained are competitive to previous HS variants that used to solve Knapsack problem. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19753/1/35.%20Solving%200_1%20Knapsack%20Problem%20Using%20Hybrid%20HS%20and%20Jaya%20Algorithms1.pdf pdf en http://umpir.ump.edu.my/id/eprint/19753/7/Solving%2001%20Knapsack%20Problem%20Using%20Hybrid%20HS%20and%20Jaya%20Algorithms.pdf Alomoush, Alaa A. and Alsewari, Abdulrahman A. and Alamri, Hammoudeh S. and Kamal Z., Zamli (2018) Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms. Advanced Science Letters, 24 (10). pp. 7486-7489. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12964 doi: 10.1166/asl.2018.12964
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Alomoush, Alaa A.
Alsewari, Abdulrahman A.
Alamri, Hammoudeh S.
Kamal Z., Zamli
Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
description Knapsack problem is a combinatorial optimization problem, where a fixed-size Knapsack must be filled with the most valuable items. Solving knapsack problem consider NP hard problem and many previous research tried to find optimal solution for it. In this research, a new hybrid algorithm of Harmony search and Jaya search algorithms applied on 0/1 Knapsack problem to find a near optimal results. HS algorithm has been modified to handle the 0/1 Knapsack problem, such as adding penalty function to cope the weight condition, exclude the harmony search bandwidth (bw) parameter, and use the current best result in the next iteration to obtain a better result. The new hybrid algorithm has been applied on different cases of Knapsack problem with different dimensions. 20 case studies have been evaluated by the new hybrid algorithm. The results obtained are competitive to previous HS variants that used to solve Knapsack problem.
format Article
author Alomoush, Alaa A.
Alsewari, Abdulrahman A.
Alamri, Hammoudeh S.
Kamal Z., Zamli
author_facet Alomoush, Alaa A.
Alsewari, Abdulrahman A.
Alamri, Hammoudeh S.
Kamal Z., Zamli
author_sort Alomoush, Alaa A.
title Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
title_short Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
title_full Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
title_fullStr Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
title_full_unstemmed Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
title_sort solving 0/1 knapsack problem using hybrid hs and jaya algorithms
publisher American Scientific Publisher
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/19753/
http://umpir.ump.edu.my/id/eprint/19753/
http://umpir.ump.edu.my/id/eprint/19753/
http://umpir.ump.edu.my/id/eprint/19753/1/35.%20Solving%200_1%20Knapsack%20Problem%20Using%20Hybrid%20HS%20and%20Jaya%20Algorithms1.pdf
http://umpir.ump.edu.my/id/eprint/19753/7/Solving%2001%20Knapsack%20Problem%20Using%20Hybrid%20HS%20and%20Jaya%20Algorithms.pdf
first_indexed 2023-09-18T22:28:19Z
last_indexed 2023-09-18T22:28:19Z
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