loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth International Conference on Hybrid Intelligent Systems (HIS'06)
Memetic and Genetic Algorithms: A Comparison among Different Approaches to Solve Vehicle Routing Problem with Time Windows
Auckland, New Zealand
December 13-December 15
ISBN: 0-7695-2662-4
ASCII Text
x 
 
Humberto Cesar Brandao de Oliveira, Jose Lima Alexandrino, Mariane Moreira de Souza, "Memetic and Genetic Algorithms: A Comparison among Different Approaches to Solve Vehicle Routing Problem with Time Windows," Hybrid Intelligent Systems, International Conference on, pp. 55, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/HIS.2006.44,
author = {Humberto Cesar Brandao de Oliveira and Jose Lima Alexandrino and Mariane Moreira de Souza},
title = {Memetic and Genetic Algorithms: A Comparison among Different Approaches to Solve Vehicle Routing Problem with Time Windows},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2662-4},
pages = {55},
doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2006.44},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - Memetic and Genetic Algorithms: A Comparison among Different Approaches to Solve Vehicle Routing Problem with Time Windows
SN - 0-7695-2662-4
SP
EP
A1 - Humberto Cesar Brandao de Oliveira,
A1 - Jose Lima Alexandrino,
A1 - Mariane Moreira de Souza,
PY - 2006
KW - null
VL - 0
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
Humberto Cesar Brandao de Oliveira, Federal University of Pernambuco, Brazil
Jose Lima Alexandrino, Federal University of Pernambuco, Brazil
Mariane Moreira de Souza, Federal University of Pernambuco, Brazil
This paper presents four different kinds of Evolutionary Algorithms (EA), for the Vehicle Routing Problem with Time Windows. A comparison among four EAs was made in order to investigate approaches such as genetic memory of populations, which avoids the loss of good genetic threads during search process and the hybridization of the EAs through local search, forming Memetic Algorithms.
Citation:
Humberto Cesar Brandao de Oliveira, Jose Lima Alexandrino, Mariane Moreira de Souza, "Memetic and Genetic Algorithms: A Comparison among Different Approaches to Solve Vehicle Routing Problem with Time Windows," his, pp.55, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.