Title
Enhancements of NSGA II and its application to the vehicle routing problem with route balancing
Abstract
In this paper, we address a bi-objective vehicle routing problem in which the total length of routes is minimized as well as the balance of routes, i.e. the difference between the maximal route length and the minimal route length. For this problem, we propose an implementation of the standard multi-objective evolutionary algorithm NSGA II. To improve its efficiency, two mechanisms have been added. First, a parallelization of NSGA II by means of an island model is proposed. Second, an elitist diversification mechanism is adapted to be used with NSGA II. Our method is tested on standard benchmarks for the vehicle routing problem. The contribution of the introduced mechanisms is evaluated by different performance metrics. All the experimentations indicate a strict improvement of the generated Pareto set.
Year
DOI
Venue
2005
10.1007/11740698_12
Lecture Notes in Computer Science
Keywords
Field
DocType
different performance metrics,total length,nsga ii,standard benchmarks,route balancing,standard multi-objective evolutionary algorithm,bi-objective vehicle,minimal route length,elitist diversification mechanism,island model,maximal route length,vehicle routing problem
Vehicle routing problem,Mathematical optimization,Evolutionary algorithm,Island model,Engineering,Pareto principle
Conference
Volume
ISSN
ISBN
3871
0302-9743
3-540-33589-7
Citations 
PageRank 
References 
23
1.03
9
Authors
3
Name
Order
Citations
PageRank
Nicolas Jozefowiez134821.58
Frédéric Semet2129996.47
El-Ghazali Talbi32186179.85