DocumentCode :
2043029
Title :
Extended Heuristic Bubble Algorithm for the Pickup and Delivery Problem with Time Windows
Author :
Savran, Akin Ilker ; Musaoglu, Erhan ; Yildiz, Cagdas ; Yuce, Mehmet Fatih ; Yesil, Engin
Author_Institution :
Control & Autom. Eng. Dept., Istanbul Tech. Univ., Maslak, Turkey
fYear :
2015
fDate :
22-24 Jan. 2015
Firstpage :
145
Lastpage :
150
Abstract :
In this study, the Vehicle Routing Problem Pickup and Delivery with Time Windows (VRPPDTW) is considered. The VRPPDTW problem is seen in many practical applications such as logistics, distribution and transportation. Firstly, a new model of the very close to real-life problem is defined. Secondly, a novel heuristic algorithm with a new objective function is proposed to solve the daily macro routing problem with time windows. The method proposed to solve VRPPDTW problem is an extended version of a nature-inspired algorithm called Heuristic Bubble Algorithm (HBA). In order to express the benefit of using extended HBA, five case studies are discussed using RouteArt. The obtained results provide promising solutions in terms of average vehicle load efficiency, average service time, and total waiting time of the vehicle.
Keywords :
goods distribution; logistics; vehicle routing; RouteArt; VRPPDTW problem; average service time; average vehicle load efficiency; daily macro routing problem; distribution; extended HBA; extended heuristic bubble algorithm; logistics; nature-inspired algorithm; objective function; transportation; vehicle routing problem pickup-and-delivery-with-time windows problem; vehicle total waiting time; Computer aided software engineering; Heuristic algorithms; Linear programming; Optimization; Routing; Vehicle routing; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on
Conference_Location :
Herl´any
Type :
conf
DOI :
10.1109/SAMI.2015.7061864
Filename :
7061864
Link To Document :
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