scholarly journals Enhancing Solution Similarity in Multi-Objective Vehicle Routing Problems with Different Demand Periods

Author(s):  
Tadahiko Murata ◽  
Ryota Itai
2019 ◽  
Vol 10 (1) ◽  
pp. 82-104 ◽  
Author(s):  
Tao Wang ◽  
Jing Ni ◽  
Yixuan Wang

This article proposes an Intelligent Water Drop Algorithm for solving Multi-Objective Vehicle Routing Problems by considering the constraints of vehicle volume, delivery mileage, and mixed time windows and minimizing the cost of distribution and the minimum number of vehicles. This article improves the basic Intelligent Water Drop Algorithm and show the improved intelligent water droplet genetic hybrid algorithm is an effective method for solving discrete problems. The authors present a practical example and show the applicability of the proposed algorithm. The authors compare the algorithms with the basic algorithm and show the improved intelligent droplet genetic hybrid algorithm has higher computing efficiency and continuous optimization capability.


2013 ◽  
Vol 65 (2) ◽  
pp. 286-296 ◽  
Author(s):  
Raúl Baños ◽  
Julio Ortega ◽  
Consolación Gil ◽  
Antonio L. Márquez ◽  
Francisco de Toro

2008 ◽  
Vol 189 (2) ◽  
pp. 293-309 ◽  
Author(s):  
Nicolas Jozefowiez ◽  
Frédéric Semet ◽  
El-Ghazali Talbi

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