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
Link To Document :
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