COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEM

The solutions to the multi-criteria vehicle routing problem, dependent on route length and travelling time of delivery van, are presented in the paper. This type of problem is known as a traveling salesman problem. The artificial immune system is used to solve it in this article. Since there are two...

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Main Author: Bogna MRÓWCZYŃSKA
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2016-12-01
Series:Applied Computer Science
Subjects:
Online Access:http://acs.pollub.pl/pdf/v12n4/6.pdf
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spelling doaj-fa7e4cea9e34478e803f1de2d04dd40f2020-11-25T02:38:59ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772016-12-011247887COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEMBogna MRÓWCZYŃSKA0Silesian University of Technology, Faculty of Transport, PolandThe solutions to the multi-criteria vehicle routing problem, dependent on route length and travelling time of delivery van, are presented in the paper. This type of problem is known as a traveling salesman problem. The artificial immune system is used to solve it in this article. Since there are two variables – route length and travelling time - two methods are employed. They are: Weighted Objectives Method and Pareto Efficiency Method. The results of calculation are compared.http://acs.pollub.pl/pdf/v12n4/6.pdfFaculty of TransportKrasińskiego 840-019 KatowicePolandmulti-criteria optimizationPareto efficiencyvehicle routing problemartificial immune system
collection DOAJ
language English
format Article
sources DOAJ
author Bogna MRÓWCZYŃSKA
spellingShingle Bogna MRÓWCZYŃSKA
COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEM
Applied Computer Science
Faculty of Transport
Krasińskiego 8
40-019 Katowice
Poland
multi-criteria optimization
Pareto efficiency
vehicle routing problem
artificial immune system
author_facet Bogna MRÓWCZYŃSKA
author_sort Bogna MRÓWCZYŃSKA
title COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEM
title_short COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEM
title_full COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEM
title_fullStr COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEM
title_full_unstemmed COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEM
title_sort comparison of pareto efficiency and weighted objectives method to solve the multi-criteria vehicle routing problem using the artificial immune system
publisher Polish Association for Knowledge Promotion
series Applied Computer Science
issn 1895-3735
2353-6977
publishDate 2016-12-01
description The solutions to the multi-criteria vehicle routing problem, dependent on route length and travelling time of delivery van, are presented in the paper. This type of problem is known as a traveling salesman problem. The artificial immune system is used to solve it in this article. Since there are two variables – route length and travelling time - two methods are employed. They are: Weighted Objectives Method and Pareto Efficiency Method. The results of calculation are compared.
topic Faculty of Transport
Krasińskiego 8
40-019 Katowice
Poland
multi-criteria optimization
Pareto efficiency
vehicle routing problem
artificial immune system
url http://acs.pollub.pl/pdf/v12n4/6.pdf
work_keys_str_mv AT bognamrowczynska comparisonofparetoefficiencyandweightedobjectivesmethodtosolvethemulticriteriavehicleroutingproblemusingtheartificialimmunesystem
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