DocumentCode
2144821
Title
An evolutionary multi-objective modeling and solution approach for fuzzy vehicle routing problem
Author
Sherinov, Zhavat ; Ünveren, Ahmet ; Acan, Adnan
Author_Institution
Comput. Eng. Dept., Eastern Mediterranean Univ., Mersin, Turkey
fYear
2011
fDate
15-18 June 2011
Firstpage
450
Lastpage
454
Abstract
In this paper an evolutionary multi-objective optimization approach is applied to extend fuzzy multi objective problem considered by Jeng-Jong Lin [1] and Gupta et al [2, 3]. In our extended work, the concept of fuzzy [6, 8] due time is applied to increase satisfaction grade of customers and to meet their demands much better as well as to decrease the delay times of vehicles, which service customers during their desired period of times, so the objectives are as follows: maximize the loading capacity of vehicles, minimize the distance travelled by vehicles, minimize the waiting time of customers, maximize the satisfaction grade of customers, minimize the delay times of vehicles.
Keywords
customer satisfaction; customer services; fuzzy logic; optimisation; transportation; customers satisfaction grade; customers service; evolutionary multi-objective optimization; fuzzy vehicle routing problem; Algorithm design and analysis; Biological cells; Delay; Loading; Minimization; Routing; Vehicles; Evalutionary Algorithms; Fuzzy logic; Vehicle routing problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
Conference_Location
Istanbul
Print_ISBN
978-1-61284-919-5
Type
conf
DOI
10.1109/INISTA.2011.5946143
Filename
5946143
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