EconPapers    
Economics at your fingertips  
 

A Multi-Objective Genetic Algorithm for the Vehicle Routing with Time Windows and Loading Problem

Ana Moura ()
Additional contact information
Ana Moura: University of Aveiro

A chapter in Intelligent Decision Support, 2008, pp 187-201 from Springer

Abstract: Abstract This work presents the Vehicle Routing with Time Windows and Loading Problem (VRTWLP) as a multi-objective optimization problem, implemented within a Genetic Algorithm. Specifically, the three dimensions of the problem to be optimized — the number of vehicles, the total travel distance and volume utilization — are considered to be separated dimensions of a multi-objective space. The quality of the solution obtained using this approach is evaluated and compared with results of other heuristic approaches previously developed by the author. The most significant contribution of this work is our interpretation of VRTWLP as a Multi-objective Optimization Problem.

Keywords: Vehicle Routing Problem with Time Windows; Container Loading Problem; Multi-objective Optimization Problem (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (8)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-8349-9777-7_11

Ordering information: This item can be ordered from
http://www.springer.com/9783834997777

DOI: 10.1007/978-3-8349-9777-7_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-8349-9777-7_11