Solving the non-linear multi-index transportation problems with genetic algorithms

In this paper we study the non-linear multi-index transporta\-tion problem with concave cost functions. We solved the non-linear transportation problem on a network with 5 indices (NTPN5I) described by sources, destinations, intermediate nodes, types of products, and types of transport, that is for...

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Main Author: Tatiana Pașa
Format: Article
Language:English
Published: Vladimir Andrunachievici Institute of Mathematics and Computer Science 2022-02-01
Series:Computer Science Journal of Moldova
Subjects:
Online Access:http://www.math.md/files/csjm/v30-n1/v30-n1-(pp77-92).pdf
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author Tatiana Pașa
author_facet Tatiana Pașa
author_sort Tatiana Pașa
collection DOAJ
description In this paper we study the non-linear multi-index transporta\-tion problem with concave cost functions. We solved the non-linear transportation problem on a network with 5 indices (NTPN5I) described by sources, destinations, intermediate nodes, types of products, and types of transport, that is formulated as a non-linear transportation problem on a network with 3 indices (NTPN3I) described by arcs, types of products, and types of transport. We propose a genetic algorithm for solving the large-scale problems in reasonable amount of time, which was proven by the various tests shown in this paper. The convergence theorem of the algorithm is formulated and proved. The algorithm was implemented in Wolfram Language and tested in Wolfram Mathematica.
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spelling doaj.art-fad495eac72a49d48af4267f286555b02022-12-22T04:20:17ZengVladimir Andrunachievici Institute of Mathematics and Computer ScienceComputer Science Journal of Moldova1561-40422022-02-01301(88)7792Solving the non-linear multi-index transportation problems with genetic algorithmsTatiana Pașa0Moldova State Univerity, Faculty of Mathematics and Computer Science, 60 A. Mateevici, MD-2009, Chișinău, Republic of MoldovaIn this paper we study the non-linear multi-index transporta\-tion problem with concave cost functions. We solved the non-linear transportation problem on a network with 5 indices (NTPN5I) described by sources, destinations, intermediate nodes, types of products, and types of transport, that is formulated as a non-linear transportation problem on a network with 3 indices (NTPN3I) described by arcs, types of products, and types of transport. We propose a genetic algorithm for solving the large-scale problems in reasonable amount of time, which was proven by the various tests shown in this paper. The convergence theorem of the algorithm is formulated and proved. The algorithm was implemented in Wolfram Language and tested in Wolfram Mathematica.http://www.math.md/files/csjm/v30-n1/v30-n1-(pp77-92).pdfnon-linear programmingconcave functiontrans-port problemindex
spellingShingle Tatiana Pașa
Solving the non-linear multi-index transportation problems with genetic algorithms
Computer Science Journal of Moldova
non-linear programming
concave function
trans-port problem
index
title Solving the non-linear multi-index transportation problems with genetic algorithms
title_full Solving the non-linear multi-index transportation problems with genetic algorithms
title_fullStr Solving the non-linear multi-index transportation problems with genetic algorithms
title_full_unstemmed Solving the non-linear multi-index transportation problems with genetic algorithms
title_short Solving the non-linear multi-index transportation problems with genetic algorithms
title_sort solving the non linear multi index transportation problems with genetic algorithms
topic non-linear programming
concave function
trans-port problem
index
url http://www.math.md/files/csjm/v30-n1/v30-n1-(pp77-92).pdf
work_keys_str_mv AT tatianapasa solvingthenonlinearmultiindextransportationproblemswithgeneticalgorithms