Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation Problem

Optimizing problems in the modern era, the single objective optimization problems are insufficient to hold the full data of the problem. Therefore, multi-objective optimization problems come to the rescue. Similarly, in daily life problems, the parameters used in the optimization problem are not alw...

Full description

Bibliographic Details
Main Authors: Jaydeepkumar M. Sosa, Jayesh M. Dhodiya
Format: Article
Language:English
Published: Ram Arti Publishers 2020-12-01
Series:International Journal of Mathematical, Engineering and Management Sciences
Subjects:
Online Access:https://www.ijmems.in/volumes/volume5/number6/108-IJMEMS-20-80-5-6-1452-1467-2020.pdf
_version_ 1811273300247052288
author Jaydeepkumar M. Sosa
Jayesh M. Dhodiya
author_facet Jaydeepkumar M. Sosa
Jayesh M. Dhodiya
author_sort Jaydeepkumar M. Sosa
collection DOAJ
description Optimizing problems in the modern era, the single objective optimization problems are insufficient to hold the full data of the problem. Therefore, multi-objective optimization problems come to the rescue. Similarly, in daily life problems, the parameters used in the optimization problem are not always fixed but there may be some uncertainty and it can characterize by fuzzy number. This work underlines the genetic algorithm (GA) based solution of fuzzy transportation problem with more than one objective. With a view to providing the multifaceted choices to decision-maker (DM), the exponential membership function is used with the decision-makers desired number of cases which consisted of shape parameter and aspiration level. Here, we consider the objective functions which are non-commensurable and conflict with each other. To interpret, evaluate and exhibit the usefulness of the proposed method, a numerical example is given.
first_indexed 2024-04-12T22:56:41Z
format Article
id doaj.art-432edbee671d42aba8623247bdc2ba77
institution Directory Open Access Journal
issn 2455-7749
2455-7749
language English
last_indexed 2024-04-12T22:56:41Z
publishDate 2020-12-01
publisher Ram Arti Publishers
record_format Article
series International Journal of Mathematical, Engineering and Management Sciences
spelling doaj.art-432edbee671d42aba8623247bdc2ba772022-12-22T03:13:11ZengRam Arti PublishersInternational Journal of Mathematical, Engineering and Management Sciences2455-77492455-77492020-12-01561452146710.33889/IJMEMS.2020.5.6.108Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation ProblemJaydeepkumar M. Sosa0Jayesh M. Dhodiya1Department of Mathematics, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India.Department of Mathematics, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India.Optimizing problems in the modern era, the single objective optimization problems are insufficient to hold the full data of the problem. Therefore, multi-objective optimization problems come to the rescue. Similarly, in daily life problems, the parameters used in the optimization problem are not always fixed but there may be some uncertainty and it can characterize by fuzzy number. This work underlines the genetic algorithm (GA) based solution of fuzzy transportation problem with more than one objective. With a view to providing the multifaceted choices to decision-maker (DM), the exponential membership function is used with the decision-makers desired number of cases which consisted of shape parameter and aspiration level. Here, we consider the objective functions which are non-commensurable and conflict with each other. To interpret, evaluate and exhibit the usefulness of the proposed method, a numerical example is given.https://www.ijmems.in/volumes/volume5/number6/108-IJMEMS-20-80-5-6-1452-1467-2020.pdffuzzy optimizationgaexponential membership functiondecision-maker (dm)
spellingShingle Jaydeepkumar M. Sosa
Jayesh M. Dhodiya
Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation Problem
International Journal of Mathematical, Engineering and Management Sciences
fuzzy optimization
ga
exponential membership function
decision-maker (dm)
title Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation Problem
title_full Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation Problem
title_fullStr Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation Problem
title_full_unstemmed Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation Problem
title_short Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation Problem
title_sort genetic algorithm based solution of fuzzy multi objective transportation problem
topic fuzzy optimization
ga
exponential membership function
decision-maker (dm)
url https://www.ijmems.in/volumes/volume5/number6/108-IJMEMS-20-80-5-6-1452-1467-2020.pdf
work_keys_str_mv AT jaydeepkumarmsosa geneticalgorithmbasedsolutionoffuzzymultiobjectivetransportationproblem
AT jayeshmdhodiya geneticalgorithmbasedsolutionoffuzzymultiobjectivetransportationproblem