A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows

2020 ◽  
Author(s):  
Li Li ◽  
Avimanyu Sahoo ◽  
Liang Chang
Keyword(s):  
Evolutionary Algorithm ◽  
Time Windows ◽  
Pickup And Delivery ◽  
Delivery Problem ◽  
Multi Objective ◽  
Pickup And Delivery Problem ◽  
R2 Indicator

scholarly journals Multi-Objective Optimization for the m-PDPTW: Aggregation Method With Use of Genetic Algorithm and Lower Bounds

2011 ◽  
Vol 6 (2) ◽  
pp. 246 ◽  
Author(s):  
Imen Harbaoui Dridi ◽  
Ryan Kammarti ◽  
Mekki Ksouri ◽  
Pierre Borne
Keyword(s):  
Genetic Algorithm ◽  
Lower Bounds ◽  
Time Windows ◽  
Pickup And Delivery ◽  
Multi Objective Optimization ◽  
Aggregation Method ◽  
Routing Problem ◽  
Delivery Problem ◽  
Multi Objective ◽  
Pickup And Delivery Problem

<p>The PDPTW is an optimization vehicles routing problem which must meet requests for transport between suppliers and customers in purpose to satisfy precedence, capacity and time constraints. We present, in this paper, a genetic algorithm for multi-objective optimization of a multi pickup and delivery problem with time windows (m-PDPTW), based on aggregation method and lower bounds. We propose in this sense a brief literature review of the PDPTW, present our approach to give a satisfying solution to the m-PDPTW minimizing the compromise between total travel cost and total tardiness time.</p>

The pickup and delivery problem with time windows

1991 ◽  
Vol 54 (1) ◽  
pp. 7-22 ◽  
Author(s):  
Yvan Dumas ◽  
Jacques Desrosiers ◽  
François Soumis
Keyword(s):  
Time Windows ◽  
Pickup And Delivery ◽  
Delivery Problem ◽  
Pickup And Delivery Problem
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