Binary social group optimization algorithm for solving 0-1 knapsack problem

In this paper, we propose the binary version of the Social Group Optimization (BSGO) algorithm for solving the 0-1 knapsack problem. The standard Social Group Optimization (SGO) is used for continuous optimization problems. So a transformation function is used to convert the continuous valu...

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Main Authors:	Anima Naik, Pradeep Kumar Chokkalingam
Format:	article
Language:	EN
Published:	Growing Science 2022
Subjects:	Analysis QA299.6-433 Business mathematics. Commercial arithmetic. Including tables, etc. HF5691-5716
Online Access:	https://doaj.org/article/c5cdf5c9e85b4c38b5546c05fefcf53c
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spelling	oai:doaj.org-article:c5cdf5c9e85b4c38b5546c05fefcf53c2021-11-12T06:26:20ZBinary social group optimization algorithm for solving 0-1 knapsack problem1929-58041929-581210.5267/j.dsl.2021.8.004https://doaj.org/article/c5cdf5c9e85b4c38b5546c05fefcf53c2022-01-01T00:00:00Zhttp://www.growingscience.com/dsl/Vol11/dsl_2021_32.pdfhttps://doaj.org/toc/1929-5804https://doaj.org/toc/1929-5812 In this paper, we propose the binary version of the Social Group Optimization (BSGO) algorithm for solving the 0-1 knapsack problem. The standard Social Group Optimization (SGO) is used for continuous optimization problems. So a transformation function is used to convert the continuous values generated from SGO into binary ones. The experiments are carried out using both low-dimensional and high-dimensional knapsack problems. The results obtained by the BSGO algorithm are compared with other binary optimization algorithms. Experimental results reveal the superiority of the BSGO algorithm in achieving a high quality of solutions over different algorithms and prove that it is one of the best finding algorithms especially in high-dimensional cases.Anima NaikPradeep Kumar ChokkalingamGrowing SciencearticleAnalysisQA299.6-433Business mathematics. Commercial arithmetic. Including tables, etc.HF5691-5716ENDecision Science Letters, Vol 11, Iss 1, Pp 55-72 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Analysis QA299.6-433 Business mathematics. Commercial arithmetic. Including tables, etc. HF5691-5716
spellingShingle	Analysis QA299.6-433 Business mathematics. Commercial arithmetic. Including tables, etc. HF5691-5716 Anima Naik Pradeep Kumar Chokkalingam Binary social group optimization algorithm for solving 0-1 knapsack problem
description	In this paper, we propose the binary version of the Social Group Optimization (BSGO) algorithm for solving the 0-1 knapsack problem. The standard Social Group Optimization (SGO) is used for continuous optimization problems. So a transformation function is used to convert the continuous values generated from SGO into binary ones. The experiments are carried out using both low-dimensional and high-dimensional knapsack problems. The results obtained by the BSGO algorithm are compared with other binary optimization algorithms. Experimental results reveal the superiority of the BSGO algorithm in achieving a high quality of solutions over different algorithms and prove that it is one of the best finding algorithms especially in high-dimensional cases.
format	article
author	Anima Naik Pradeep Kumar Chokkalingam
author_facet	Anima Naik Pradeep Kumar Chokkalingam
author_sort	Anima Naik
title	Binary social group optimization algorithm for solving 0-1 knapsack problem
title_short	Binary social group optimization algorithm for solving 0-1 knapsack problem
title_full	Binary social group optimization algorithm for solving 0-1 knapsack problem
title_fullStr	Binary social group optimization algorithm for solving 0-1 knapsack problem
title_full_unstemmed	Binary social group optimization algorithm for solving 0-1 knapsack problem
title_sort	binary social group optimization algorithm for solving 0-1 knapsack problem
publisher	Growing Science
publishDate	2022
url	https://doaj.org/article/c5cdf5c9e85b4c38b5546c05fefcf53c
work_keys_str_mv	AT animanaik binarysocialgroupoptimizationalgorithmforsolving01knapsackproblem AT pradeepkumarchokkalingam binarysocialgroupoptimizationalgorithmforsolving01knapsackproblem
_version_	1718431195478360064

Binary social group optimization algorithm for solving 0-1 knapsack problem

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