Paper Info
Title
Nsga-Ii With Objective-Specific Variation Operators For Multiobjective Vehicle Routing Problem With Time Windows
Abstract
Vehicle routing problem with time windows (VRPTW) is a pivotal problem in logistics domain as it possesses multiobjective characteristics in real-world applications. Literature contains a general multiobjective VRPTW (MOVRPTW) with five objectives along with MOVRPTW benchmark instances that are derived from real-world data. In this paper, we have proposed a nondominated sorting genetic algorithm II (NSGA-II) based approach with objective-specific variation operators to address the MOVRPTW. In the proposed NSGA-II approach, the crossover and mutation operators are designed by exploiting the problem characteristics as well as the attributes of each objective. The performance of the proposed approach is evaluated on the standard benchmark instances of the problem and compared with the state-of-the-art approach available in literature. The computational results demonstrate the superiority of our approach over the state-of-the-art approach for the MOVRPTW.
Year
DOI
Venue
2021
10.1016/j.eswa.2021.114779
EXPERT SYSTEMS WITH APPLICATIONS
Keywords
DocType
Volume
Evolutionary algorithms, Multiobjective optimization, Nondominated sorting genetic algorithm II, Vehicle routing problem with time windows
Journal
176
ISSN
Citations 
PageRank 
0957-4174
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Gaurav Srivastava134349.08
Alok Singh2176.56
Rammohan Mallipeddi3104549.50